Junjie Wang

1.1k total citations
70 papers, 659 citations indexed

About

Junjie Wang is a scholar working on Molecular Biology, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Junjie Wang has authored 70 papers receiving a total of 659 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 23 papers in Computational Theory and Mathematics and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Junjie Wang's work include Computational Drug Discovery Methods (21 papers), Protein Structure and Dynamics (10 papers) and Machine Learning in Bioinformatics (7 papers). Junjie Wang is often cited by papers focused on Computational Drug Discovery Methods (21 papers), Protein Structure and Dynamics (10 papers) and Machine Learning in Bioinformatics (7 papers). Junjie Wang collaborates with scholars based in China, New Zealand and Hong Kong. Junjie Wang's co-authors include Lingling Zhao, Chunyu Wang, Long Pang, Liang Cheng, Jun Zhang, Yang Liu, Jiang Wu, Zhiyu Zhou, Zefei Zhu and Yan Zhu and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Junjie Wang

58 papers receiving 646 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junjie Wang China 15 286 234 129 84 73 70 659
Ruihan Yang China 9 335 1.2× 344 1.5× 70 0.5× 126 1.5× 49 0.7× 31 610
Fei Luo China 12 337 1.2× 245 1.0× 153 1.2× 57 0.7× 45 0.6× 44 781
Haifeng Hu China 14 203 0.7× 138 0.6× 62 0.5× 46 0.5× 40 0.5× 62 597
Xuan Lin China 16 524 1.8× 415 1.8× 35 0.3× 173 2.1× 153 2.1× 89 1.0k
Yifan Wu China 12 149 0.5× 114 0.5× 191 1.5× 38 0.5× 118 1.6× 51 491
Weibin Chen China 17 204 0.7× 57 0.2× 81 0.6× 96 1.1× 192 2.6× 61 869
Hua Zou China 12 173 0.6× 96 0.4× 148 1.1× 24 0.3× 68 0.9× 55 551
Chao Che China 16 186 0.7× 169 0.7× 125 1.0× 60 0.7× 296 4.1× 59 793
Carlos Morell Cuba 12 124 0.4× 139 0.6× 212 1.6× 22 0.3× 330 4.5× 44 673

Countries citing papers authored by Junjie Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junjie Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junjie Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Junjie Wang. A scholar is included among the top collaborators of Junjie Wang 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 Junjie Wang. Junjie Wang 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.
Jiang, Tao, et al.. (2025). GENEasso: a curated resource of credible disease–gene associations across complex diseases from GWAS summary statistics. Nucleic Acids Research. 54(D1). D1415–D1424. 1 indexed citations
2.
Liu, Xiaoyan, Quan Zou, Qing Liu, et al.. (2025). BridgeSyn: a bridging fusion framework for drug combination synergy prediction. Briefings in Bioinformatics. 26(6).
3.
Zou, Quan, et al.. (2025). Improving protein–protein interaction modulator predictions via knowledge-fused language models. Information Fusion. 123. 103227–103227. 1 indexed citations
4.
5.
Wang, Junjie, et al.. (2024). MW-YOLO: Improved YOLOv8n for Lightweight Dense Vehicle Object Detection Algorithm. 28–35. 1 indexed citations
6.
Zhu, Yan, et al.. (2024). Drug-Target Binding Affinity Prediction in a Continuous Latent Space Using Variational Autoencoders. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(5). 1458–1467. 3 indexed citations
7.
Zhao, Lingling, et al.. (2024). A Hierarchical Graph Neural Network Framework for Predicting Protein-Protein Interaction Modulators With Functional Group Information and Hypergraph Structure. IEEE Journal of Biomedical and Health Informatics. 28(7). 4295–4305. 9 indexed citations
8.
Wang, Yu, Junjie Wang, & Yun Liu. (2024). Deep learning for predicting synergistic drug combinations: State‐of‐the‐arts and future directions. SHILAP Revista de lepidopterología. 4(3). 6 indexed citations
9.
Yan, Yan, et al.. (2024). A review of robot path planning algorithms. 38–38. 3 indexed citations
10.
Zhu, Yan, et al.. (2023). Prediction of drug protein interactions based on variable scale characteristic pyramid convolution network. Methods. 211. 42–47. 5 indexed citations
11.
Wang, Junjie, et al.. (2023). A Hardware Trojan Detection and Diagnosis Method for Gate-Level Netlists Based on Machine Learning and Graph Theory. Electronics. 13(1). 59–59. 2 indexed citations
12.
Wang, Chunyu, et al.. (2023). Reliability modeling and contrastive learning for unsupervised person re-identification. Knowledge-Based Systems. 263. 110263–110263. 25 indexed citations
13.
14.
Feng, Dongdong, Junjie Wang, Shizhang Wang, et al.. (2023). Effect of biochar support on the catalytic performance of Fe-based catalysts for CH4 cracking. Fuel Processing Technology. 247. 107794–107794. 15 indexed citations
15.
Xie, Jing, Zhenwei Wang, Xin Zhang, et al.. (2023). Association between daily eating frequency and mortality in people with diabetes: Findings from NHANES 1999–2014. Frontiers in Nutrition. 10. 937771–937771. 6 indexed citations
16.
Zhao, Xinwei, Jingyu Wang, Wei Feng, et al.. (2023). DFFNDDS: prediction of synergistic drug combinations with dual feature fusion networks. Journal of Cheminformatics. 15(1). 33–33. 27 indexed citations
17.
Wang, Junjie, et al.. (2022). MGPLI: exploring multigranular representations for protein–ligand interaction prediction. Bioinformatics. 38(21). 4859–4867. 23 indexed citations
18.
Shao, Hua, Tao Shan, Shenqi Jing, et al.. (2022). Validation of type 2 diabetes subgroups by simple clinical parameters: a retrospective cohort study of NHANES data from 1999 to 2014. BMJ Open. 12(3). e055647–e055647. 3 indexed citations
19.
Zhao, Lingling, Junjie Wang, Yang Hu, & Liang Cheng. (2020). Conjoint Feature Representation of GO and Protein Sequence for PPI Prediction Based on an Inception RNN Attention Network. Molecular Therapy — Nucleic Acids. 22. 198–208. 23 indexed citations
20.
Wang, Junjie, Lingling Zhao, & Xiaohong Su. (2018). Distributed Particle Flow Filter for Target Tracking in Wireless Sensor Networks. Journal of Sensors. 2018. 1–10. 2 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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