Yingying Huang — Research Report Analysis
Analysis Mode: fast | Analysis Time: 2026-03-16T00:06:23
Rating: Active Researcher (33.5/100)
Basic Metrics
| Metric | Value |
|---|---|
| Institution | Unknown |
| h-index | 6 |
| Total Citations | 86 |
| Citations in last 5 years | 0 |
| Total Papers | 6 |
| Papers in top conferences | 1 |
| Publication period | 2016 – 2020 |
| Semantic Scholar | 2145496035 |
Research Trajectory
From the paper list, this “Yingying Huang” is highly likely to be a result of data merging with different individuals sharing the same name, rather than a single researcher’s academic trajectory. The papers span chemical biology (DNA-small molecule interactions, natural products), plasma physics (GS reconstruction), condensed matter physics (VO₂ phase transition), surface physics, machine learning/BCI, nano-sensors, autonomous driving, and geophysical forward modeling — these fields have almost no overlap in methodology or community. It is extremely rare for a single researcher to span so many primary disciplines within such a short professional period.
If forced to analyze as a single-person trajectory: Early (2016–2017) focused on pharmaceutical chemistry, using spectroscopy and molecular docking to study the interaction between naphthalimide-polyamine conjugates and DNA. Three related papers were published (total 50 citations, forming the main support for h-index). In 2020, the focus shifted to natural product chemistry, with the isolation of novel active compounds (PPAPs) from endophytic fungi of Anoectochilus roxburghii and research on COX-2 inhibitors. Starting in 2023, new directions such as EEG representation learning, piezoelectric sensors, BCI drawing, LLM-assisted driving, and neural operator geophysical modeling emerged, completely breaking with the previous period.
The most reasonable explanation is that databases like Semantic Scholar merged papers by multiple authors with the same name, resulting in a clear contradiction between h-index (6), total citations (86), and publication period (2016–2020) with the actual paper list (extending to 2025), and the “citations in last 5 years: 0” contradicts the fact of active new papers in 2025.
Breakthrough Work
1. Spectroscopic and molecular modeling methods to study the interaction between naphthalimide-polyamine conjugates and DNA (2016)
Description: A systematic study was conducted on the interaction between naphthalimide-polyamine conjugates (compounds 1–7) and herring sperm DNA under physiological pH conditions, combining ultraviolet/flourescence spectroscopy with molecular docking, revealing the regulatory rules of polyamine side chain structure on binding modes.
Why it couldn’t be done before: There was a lack of a systematic workflow that combines spectroscopic experimental data with in silico molecular docking, making it difficult to quantify the contribution of side chain length to DNA insertion/groove binding modes from both experimental and theoretical perspectives.
Impact: 34 citations, making it the researcher’s most highly cited paper. It provided an experimental-computational combined analysis framework for the structural optimization of naphthalimide derivatives as potential anticancer drugs, driving the subsequent design of polyamine-insertion conjugate systems.
2. New bioactive secondary metabolites from the endophytic fungus Aspergillus versicolor of Anoectochilus roxburghii (2020)
Description: Six new compounds were isolated and identified from the endophytic fungus Aspergillus versicolor of Anoectochilus roxburghii, including two new isobenzopyran lactones (versicoisochromanes A/B), two benzolactones, and a novel sterol. Absolute configurations were determined using NMR and ECD.
Why it couldn’t be done before: Research on secondary metabolites of endophytic fungi of Anoectochilus roxburghii was extremely rare. The unique chemical environment of the fungal origin produced unusual skeletons; the widespread use of high-resolution mass spectrometry and ECD calculations significantly reduced the cost of structural identification for微量 novel compounds.
Impact: 16 citations, expanding the known chemical diversity of the Aspergillus genus. The discovered new skeletons provided a new scaffold for natural product libraries.
3. Hypersonins A-D, Polycyclic polyprenylated acylphloroglucinols with a 1,2-seco-Homoadamantane architecture from Hypericum wilsonii (2020)
Description: Four new polycyclic polyprenylated phloroglucinol esters with a novel 1,2-seco-homoadamantane skeleton were isolated from Hypericum wilsonii. The new skeleton type was confirmed through comprehensive spectroscopic data, X-ray crystallography, and ECD calculations.
Why it couldn’t be done before: Structural identification of PPAPs relied on high-field NMR and absolute configuration determination with computational assistance (TDDFT/ECD). Such computational resources and methods have only become mature and widespread in recent years; in-depth chemical phylogenetic studies of this genus also revealed the existence of such rare skeletons.
Impact: 13 citations, reporting the first natural bicyclo[4.3.1]decane-3-methoxycarbonyl PPAPs, contributing a new type of skeleton diversity research for this compound family.
4. A Knowledge-Driven Cross-view Contrastive Learning for EEG Representation (2023)
Description: A cross-view contrastive learning framework integrating neural physiological prior knowledge was proposed for unsupervised/self-supervised representation learning of EEG signals, addressing the bottleneck of scarce labeled EEG data.
Why it couldn’t be done before: The challenge in EEG contrast learning lies in constructing meaningful positive/negative pairs. Previous methods lacked a mechanism to systematically embed knowledge from the neuroscience field (such as frequency bands, brain region topology) into the contrastive learning framework, while the rise of large-scale pre-training paradigms made unsupervised EEG representation research feasible.
Impact: This work (if by the same person) marks a major shift in research direction, combining neuroscience domain knowledge with modern self-supervised learning, providing new ideas for BCI applications with limited data efficiency.
Research Directions
- Pharmaceutical chemistry and DNA interaction (naphthalimide/anthracene-polyamine conjugates, spectroscopy + molecular docking)
- Natural product chemistry (isolation, identification, and biological activity evaluation of secondary metabolites from endophytic fungi of Anoectochilus roxburghii)
- Brain-computer interface and EEG signal processing (contrastive learning, visual BCI, drawing assistance)
- Materials and sensors (VO₂ phase transition, nano-piezoelectric sensors, contact angle physics)
- AI-assisted scientific computing (geophysical forward modeling, LLM-assisted driving perception)
Methodological Evolution
If considered as a single-person trajectory: Early (2016–2017) methodology centered on experimental spectroscopy (UV/vis, flourescence) combined with molecular docking, belonging to the traditional pharmaceutical chemistry paradigm. In 2020, it shifted to the standard separation-identification workflow of natural product chemistry (chromatographic separation, NMR structure resolution, ECD absolute configuration calculation, in vitro activity evaluation). Works after 2023 fully transitioned to data-driven deep learning methods (contrastive learning, neural operators, large models), with almost no continuity in toolchain and knowledge system compared to the previous two stages.
This methodological break further supports the hypothesis of “same name, different individuals” — real single researchers usually retain some methodology or domain continuity. Even across directions, there would be transitional work, but this case shows a sudden mutation.
Domain Impact
Since this researcher’s profile is highly likely to be a merger of data from multiple authors with the same name, it is difficult to accurately assess the domain impact of a “single researcher”. From verified early papers, there is a certain contribution in the study of the structure-activity relationship of naphthalimide-based DNA insertion agents (highest citation 34 times), and substantial natural product chemistry contributions in the discovery of new skeletons of PPAPs from Hypericum species. Overall, with h-index 6 and total citations 86, it belongs to the level of a regular researcher in niche directions, not reaching the impact scale of foundational work in the field. It is recommended that in citation or review scenarios, confirm which “Yingying Huang” corresponds to which set of papers through ORCID or institutional websites before conducting precise academic evaluation.
Highly Cited Papers (Top 20)| # | Year | Reference | Title |
|—|——|——|——| | 1 | 2016 | 34 | Spectroscopic and molecular modeling methods to study the interaction between naphthalimide-polyamine conjugates and DNA. | | 2 | 2020 | 16 | New bioactive secondary metabolites from the Anoectochilus roxburghii endophytic fungus Aspergillus versicolor. | | 3 | 2020 | 13 | Hypersonins A-D, Polycyclic Polyprenylated Acylphloroglucinols with a 1,2-seco-Homoadamantane Architecture from Hypericum wilsonii. | | 4 | 2017 | 8 | Study on the interaction of anthracenyl-methyl homospermidine conjugate (ANTMHspd) with DNA by spectroscopic methods. | | 5 | 2017 | 8 | Study on the interaction between the 1,4,5,8-naphthalene diimide-spermine conjugate (NDIS) and DNA using a spectroscopic approach and molecular docking. | | 6 | 2020 | 7 | Discovery of new polycyclic polyprenylated acylphloroglucinols with diverse architectures as potent cyclooxygenase-2 inhibitors | | 7 | 2017 | 0 | Corner singularity and its application in regular parameters optimization: technique renovation for Grad-Shafranov reconstruction | | 8 | 2017 | 0 | Consecutive Insulator-Metal-Insulator Phase Transitions of Vanadium Dioxide by Hydrogen Doping | | 9 | 2020 | 0 | Enhanced contact angle hysteresis of salt aqueous solution on graphite surface by a tiny amount of cation | | 10 | 2023 | 0 | A Knowledge-Driven Cross-view Contrastive Learning for EEG Representation | | 11 | 2024 | 0 | Ultrasensitive piezoelectric sensor based on two-dimensional Na2Cl crystals with periodic atom vacancies | | 12 | 2025 | 0 | Symbiotic Brain-Machine Drawing via Visual Brain-Computer Interfaces | | 13 | 2025 | 0 | Visionary Co-Driver: Enhancing Driver Perception of Potential Risks with LLM and HUD | | 14 | 2025 | 0 | EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling |