Weihua Li

1.2k total citations
65 papers, 873 citations indexed

About

Weihua Li is a scholar working on Molecular Biology, Epidemiology and Artificial Intelligence. According to data from OpenAlex, Weihua Li has authored 65 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 19 papers in Epidemiology and 19 papers in Artificial Intelligence. Recurrent topics in Weihua Li's work include Computational Drug Discovery Methods (9 papers), Machine Learning in Bioinformatics (8 papers) and RNA and protein synthesis mechanisms (8 papers). Weihua Li is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Machine Learning in Bioinformatics (8 papers) and RNA and protein synthesis mechanisms (8 papers). Weihua Li collaborates with scholars based in China, United States and Japan. Weihua Li's co-authors include Yanbu Guo, Bingyi Wang, Tao Wang, Dongming Zhou, Peng Zhao, Zhizhong Cui, Shuang Chang, Huiqing Liu, Yun Tang and Guixia Liu and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Weihua Li

54 papers receiving 851 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weihua Li China 16 383 201 126 115 108 65 873
Yingfeng Chen China 13 476 1.2× 181 0.9× 186 1.5× 51 0.4× 31 0.3× 30 1.1k
Scott Hazelhurst South Africa 21 356 0.9× 45 0.2× 309 2.5× 71 0.6× 117 1.1× 78 1.4k
Stefan Grüner Germany 17 286 0.7× 40 0.2× 66 0.5× 95 0.8× 33 0.3× 103 916
Mahfooz Alam India 17 121 0.3× 195 1.0× 77 0.6× 262 2.3× 21 0.2× 78 962
Thomas Conway Australia 11 285 0.7× 60 0.3× 222 1.8× 25 0.2× 74 0.7× 16 599
Peter Höfner Australia 13 67 0.2× 42 0.2× 175 1.4× 98 0.9× 105 1.0× 46 547
Lonnie R. Welch United States 19 725 1.9× 37 0.2× 112 0.9× 81 0.7× 87 0.8× 116 1.5k
Sarika Jain India 13 252 0.7× 23 0.1× 41 0.3× 43 0.4× 35 0.3× 66 778
Paul Helman United States 13 139 0.4× 63 0.3× 410 3.3× 80 0.7× 44 0.4× 34 865
Rafał Adamczak Poland 12 681 1.8× 79 0.4× 260 2.1× 52 0.5× 175 1.6× 53 1.3k

Countries citing papers authored by Weihua Li

Since Specialization
Citations

This map shows the geographic impact of Weihua Li'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 Weihua Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weihua Li more than expected).

Fields of papers citing papers by Weihua Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weihua Li. 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 Weihua Li. The network helps show where Weihua Li may publish in the future.

Co-authorship network of co-authors of Weihua Li

This figure shows the co-authorship network connecting the top 25 collaborators of Weihua Li. A scholar is included among the top collaborators of Weihua Li 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 Weihua Li. Weihua Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shen, Tao, et al.. (2025). Enhancing diagnosis prediction with adaptive disease representation learning. Artificial Intelligence in Medicine. 163. 103098–103098.
2.
Dong, D. & Weihua Li. (2025). DuCGRN: A dual context-aware model for Gene Regulatory Network prediction from ScRNA-seq data. Knowledge-Based Systems. 324. 113724–113724.
3.
Wang, Bingyi, et al.. (2025). ABCoRT: Retention Time Prediction for Metabolite Identification via Atom-Bond Co-Learning. PubMed. 65(3). 1419–1427. 1 indexed citations
4.
Wang, Yuanyuan, Dalin He, Weihua Li, et al.. (2024). Field-deployable porcine epidemic diarrhea virus diagnostics utilizing CRISPR-Cas13a. Virulence. 15(1). 2429022–2429022. 3 indexed citations
5.
Liu, Guocai, et al.. (2024). EAI-SIM: An Open-Source Embodied AI Simulation Framework with Large Language Models. 994–999. 1 indexed citations
6.
Li, Weihua, et al.. (2024). TCKAN: a novel integrated network model for predicting mortality risk in sepsis patients. Medical & Biological Engineering & Computing. 63(4). 1013–1025. 3 indexed citations
7.
Yu, Qi, Zhixing Zhang, Guixia Liu, Weihua Li, & Yun Tang. (2024). ToxGIN: an In silico prediction model for peptide toxicity via graph isomorphism networks integrating peptide sequence and structure information. Briefings in Bioinformatics. 25(6). 5 indexed citations
8.
Li, Jianghui, et al.. (2024). FluPMT: Prediction of Predominant Strains of Influenza A Viruses via Multi-Task Learning. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(5). 1254–1263. 4 indexed citations
9.
Wang, Bingyi, et al.. (2024). RT-Transformer: retention time prediction for metabolite annotation to assist in metabolite identification. Bioinformatics. 40(3). 23 indexed citations
10.
Zhu, Keyun, et al.. (2024). MetaPredictor: in silico prediction of drug metabolites based on deep language models with prompt engineering. Briefings in Bioinformatics. 25(5). 5 indexed citations
11.
Wang, Zhixin, et al.. (2024). UCFN Net: Ulcerative colitis evaluation based on fine-grained lesion learner and noise suppression gating. Computer Methods and Programs in Biomedicine. 247. 108080–108080. 29 indexed citations
12.
Jia, Qitao, et al.. (2024). MetaFluAD: meta-learning for predicting antigenic distances among influenza viruses. Briefings in Bioinformatics. 25(5). 8 indexed citations
13.
Peng, Fujun, Yuan-Ling Xia, & Weihua Li. (2023). Prediction of Antigenic Distance in Influenza A Using Attribute Network Embedding. Viruses. 15(7). 1478–1478. 5 indexed citations
14.
Li, Weihua, et al.. (2022). Knowledge‐aware representation learning for diagnosis prediction. Expert Systems. 40(3). 4 indexed citations
15.
Guo, Yanbu, et al.. (2022). Deep Effective k-mer representation learning for polyadenylation signal prediction via co-occurrence embedding. Knowledge-Based Systems. 256. 109887–109887. 2 indexed citations
16.
Li, Weihua, et al.. (2022). Learning spatiotemporal embedding with gated convolutional recurrent networks for translation initiation site prediction. Pattern Recognition. 136. 109234–109234. 82 indexed citations
17.
Zhao, Ya, Yao Zhang, Kai Liu, et al.. (2019). SpyCLIP: an easy-to-use and high-throughput compatible CLIP platform for the characterization of protein–RNA interactions with high accuracy. Nucleic Acids Research. 47(6). e33–e33. 16 indexed citations
18.
Guo, Yanbu, Bingyi Wang, Weihua Li, & Bei Yang. (2018). Protein secondary structure prediction improved by recurrent neural networks integrated with two-dimensional convolutional neural networks. Journal of Bioinformatics and Computational Biology. 16(5). 1850021–1850021. 49 indexed citations
19.
Li, Weihua. (2009). Target Threat Estimate Based on Bayesian Network. Microelectronics & Computer.
20.
Li, Weihua. (2004). A Method to Determine Multi-attribute Weights Based on Sensitivity Analysis. Journal of Wuhan University of Technology-Mater Sci Ed. 1 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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