Haohuai He

447 total citations
15 papers, 219 citations indexed

About

Haohuai He is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Haohuai He has authored 15 papers receiving a total of 219 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Computational Theory and Mathematics and 4 papers in Materials Chemistry. Recurrent topics in Haohuai He's work include Computational Drug Discovery Methods (10 papers), vaccines and immunoinformatics approaches (5 papers) and Protein Structure and Dynamics (4 papers). Haohuai He is often cited by papers focused on Computational Drug Discovery Methods (10 papers), vaccines and immunoinformatics approaches (5 papers) and Protein Structure and Dynamics (4 papers). Haohuai He collaborates with scholars based in China, Taiwan and Hong Kong. Haohuai He's co-authors include Calvin Yu‐Chian Chen, Guanxing Chen, Qiujie Lv, Ziduo Yang, Jun Zhou, Bing He, Lu Zhao, Jianhua Yao, Hsin‐Yi Chen and Ting Li and has published in prestigious journals such as Nature Communications, Bioinformatics and Science Advances.

In The Last Decade

Haohuai He

13 papers receiving 215 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Haohuai He China	8	156	125	48	27	16	15	219
Mingkun Lu China	9	224 1.4×	114 0.9×	28 0.6×	11 0.4×	20 1.3×	16	346
Irina Persikova United States	3	160 1.0×	73 0.6×	44 0.9×	16 0.6×	7 0.4×	5	259
Karthikeyan Swaminathan United States	5	99 0.6×	91 0.7×	28 0.6×	11 0.4×	15 0.9×	10	197
Kristy A. Carpenter United States	7	199 1.3×	172 1.4×	59 1.2×	21 0.8×	28 1.8×	13	349
Vigneshwari Subramanian United Kingdom	8	243 1.6×	210 1.7×	76 1.6×	13 0.5×	17 1.1×	15	328
Xiaochu Tong China	7	164 1.1×	185 1.5×	82 1.7×	17 0.6×	18 1.1×	14	293
Bogdan Zagribelnyy Russia	4	124 0.8×	111 0.9×	44 0.9×	12 0.4×	13 0.8×	8	233
Shidi Tang China	6	122 0.8×	89 0.7×	40 0.8×	13 0.5×	11 0.7×	12	227
Isaac Arnold Emerson India	10	163 1.0×	58 0.5×	20 0.4×	18 0.7×	5 0.3×	36	275
Balaguru Ravikumar Finland	7	185 1.2×	175 1.4×	37 0.8×	9 0.3×	5 0.3×	9	264

Countries citing papers authored by Haohuai He

Since Specialization

Citations

This map shows the geographic impact of Haohuai He's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Haohuai He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haohuai He more than expected).

Fields of papers citing papers by Haohuai He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haohuai He. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Haohuai He. The network helps show where Haohuai He may publish in the future.

Co-authorship network of co-authors of Haohuai He

This figure shows the co-authorship network connecting the top 25 collaborators of Haohuai He. A scholar is included among the top collaborators of Haohuai He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haohuai He. Haohuai He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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15 of 15 papers shown

He, Haohuai, Guanxing Chen, Yao Hu, et al.. (2025). scKAN: interpretable single-cell analysis for cell-type-specific gene discovery and drug repurposing via Kolmogorov-Arnold networks. Genome biology. 26(1). 300–300.

He, Haohuai, et al.. (2025). Dual modality feature fused neural network integrating binding site information for drug target affinity prediction. npj Digital Medicine. 8(1). 67–67. 4 indexed citations

Chen, Guanxing, Haohuai He, Jiehui Huang, et al.. (2025). Modal-NexT: Towards unified heterogeneous cellular data integration. Information Fusion. 125. 103479–103479.

Chen, Guanxing, et al.. (2024). Knowledge-based inductive bias and domain adaptation for cell type annotation. Communications Biology. 7(1). 1440–1440. 4 indexed citations

He, Haohuai, Bing He, Guanxing Chen, et al.. (2024). De novo generation of SARS-CoV-2 antibody CDRH3 with a pre-trained generative large language model. Nature Communications. 15(1). 6867–6867. 26 indexed citations

He, Haohuai, Guanxing Chen, & Calvin Yu‐Chian Chen. (2024). Integrating sequence and graph information for enhanced drug-target affinity prediction. Science China Information Sciences. 67(2). 7 indexed citations

Chen, Guanxing, Haohuai He, Qiujie Lv, Lu Zhao, & Calvin Yu‐Chian Chen. (2024). MMFA-DTA: Multimodal Feature Attention Fusion Network for Drug-Target Affinity Prediction for Drug Repurposing Against SARS-CoV-2. Journal of Chemical Theory and Computation. 1 indexed citations

Zhao, Yu, Bing He, Fan Xu, et al.. (2023). DeepAIR: A deep learning framework for effective integration of sequence and 3D structure to enable adaptive immune receptor analysis. Science Advances. 9(32). eabo5128–eabo5128. 26 indexed citations

He, Haohuai, Guanxing Chen, & Calvin Yu‐Chian Chen. (2023). NHGNN-DTA: a node-adaptive hybrid graph neural network for interpretable drug–target binding affinity prediction. Bioinformatics. 39(6). 35 indexed citations

10.

Chen, Guanxing, Haohuai He, Lu Zhao, Qiujie Lv, & Calvin Yu‐Chian Chen. (2023). GINCM-DTA: A graph isomorphic network with protein contact map representation for potential use against COVID-19 and Omicron subvariants BQ.1, BQ.1.1, XBB.1.5, XBB.1.16. Expert Systems with Applications. 236. 121274–121274. 4 indexed citations

11.

Lv, Qiujie, Jun Zhou, Ziduo Yang, Haohuai He, & Calvin Yu‐Chian Chen. (2023). 3D graph neural network with few-shot learning for predicting drug–drug interactions in scaffold-based cold start scenario. Neural Networks. 165. 94–105. 27 indexed citations

12.

Lv, Qiujie, Guanxing Chen, Haohuai He, et al.. (2023). TCMBank: bridges between the largest herbal medicines, chemical ingredients, target proteins, and associated diseases with intelligence text mining. Chemical Science. 14(39). 10684–10701. 28 indexed citations

13.

Chen, Guanxing, et al.. (2022). Adaptive boost approach for possible leads of triple-negative breast cancer. Chemometrics and Intelligent Laboratory Systems. 231. 104690–104690. 7 indexed citations

14.

He, Haohuai, Guanxing Chen, & Calvin Yu‐Chian Chen. (2022). Machine learning and graph neural network for finding potential drugs related to multiple myeloma. New Journal of Chemistry. 46(11). 5188–5200. 6 indexed citations

15.

He, Haohuai, Guanxing Chen, & Calvin Yu‐Chian Chen. (2022). 3DGT-DDI: 3D graph and text based neural network for drug–drug interaction prediction. Briefings in Bioinformatics. 23(3). 44 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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