Jinmao Wei

1.0k total citations
62 papers, 698 citations indexed

About

Jinmao Wei is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Jinmao Wei has authored 62 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 20 papers in Molecular Biology and 18 papers in Computational Theory and Mathematics. Recurrent topics in Jinmao Wei's work include Face and Expression Recognition (11 papers), Rough Sets and Fuzzy Logic (11 papers) and Gene expression and cancer classification (11 papers). Jinmao Wei is often cited by papers focused on Face and Expression Recognition (11 papers), Rough Sets and Fuzzy Logic (11 papers) and Gene expression and cancer classification (11 papers). Jinmao Wei collaborates with scholars based in China, Australia and United States. Jinmao Wei's co-authors include Shuqin Wang, Jun Wang, Zhenglu Yang, Qinghua Hu, Xiaojie Yuan, Jian Liu, Shuang An, Peijun Ma, Wei Pan and Mingyang Wang and has published in prestigious journals such as Bioinformatics, Expert Systems with Applications and BMC Bioinformatics.

In The Last Decade

Jinmao Wei

59 papers receiving 666 citations

Peers

Jinmao Wei
Carlos Morell Cuba
Scott Cost United States
Yuyin Sun China
Zhe Quan China
Yuanfei Dai China
Bazil Pârv Romania
Xinxing Yang China
Donghong Ji China
Takao Mohri Japan
Xiaoning Song China
Carlos Morell Cuba
Jinmao Wei
Citations per year, relative to Jinmao Wei Jinmao Wei (= 1×) peers Carlos Morell

Countries citing papers authored by Jinmao Wei

Since Specialization
Citations

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

Fields of papers citing papers by Jinmao Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinmao Wei

This figure shows the co-authorship network connecting the top 25 collaborators of Jinmao Wei. A scholar is included among the top collaborators of Jinmao Wei 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 Jinmao Wei. Jinmao Wei 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.
Hou, Yonghong, et al.. (2025). PCLT-PPI: Predicting Multi-Type Interactions Between Proteins Based on Point Cloud Structure and Local Topology Preservation. IEEE Journal of Biomedical and Health Informatics. 29(10). 7753–7762.
2.
Wang, Shuqin, et al.. (2025). Accurate prediction of drug-protein interactions by maintaining the original topological relationships among embeddings. BMC Biology. 23(1). 243–243. 1 indexed citations
3.
4.
Wei, Jinmao, et al.. (2024). Fitting and sharing multi-task learning. Applied Intelligence. 54(9-10). 6918–6929. 1 indexed citations
5.
Zhou, Weijun, Zhihong Liu, Jinmao Wei, et al.. (2024). Precise detection of cell-type-specific domains in spatial transcriptomics. Cell Reports Methods. 4(8). 100841–100841. 3 indexed citations
6.
7.
Wei, Jinmao, et al.. (2023). Predicting Drug-Protein Interactions by Self-Adaptively Adjusting the Topological Structure of the Heterogeneous Network. IEEE Journal of Biomedical and Health Informatics. 27(11). 5675–5684. 5 indexed citations
8.
Zhou, Rongyan, et al.. (2022). Multi-objective data enhancement for deep learning-based ultrasound analysis. BMC Bioinformatics. 23(1). 438–438. 1 indexed citations
9.
Wang, Jun, et al.. (2020). An Effective Multi-Label Feature Selection Model Towards Eliminating Noisy Features. Applied Sciences. 10(22). 8093–8093. 2 indexed citations
10.
Li, Qian, Ziwei Li, Jinmao Wei, et al.. (2018). A Multi-Attention based Neural Network with External Knowledge for Story Ending Predicting Task. International Conference on Computational Linguistics. 1754–1762. 14 indexed citations
11.
Wang, Jun, et al.. (2017). Unsupervised Feature Selection with Joint Clustering Analysis. 1639–1648. 7 indexed citations
12.
Sun, Lei, Jun Wang, & Jinmao Wei. (2017). AVC: Selecting discriminative features on basis of AUC by maximizing variable complementarity. BMC Bioinformatics. 18(S3). 50–50. 13 indexed citations
13.
Wang, Jun, et al.. (2017). Local-Nearest-Neighbors-Based Feature Weighting for Gene Selection. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15(5). 1538–1548. 12 indexed citations
14.
Liu, Lu, Jinmao Wei, & Jianhua Ruan. (2017). Pathway Enrichment Analysis with Networks. Genes. 8(10). 246–246. 13 indexed citations
15.
16.
Wang, Jun, Jinmao Wei, & Zhenglu Yang. (2016). Supervised Feature Selection by Preserving Class Correlation. 1613–1622. 7 indexed citations
17.
Wang, Xiaoning, Jinmao Wei, Jin Han, Gang Yu, & Haiwei Zhang. (2013). Probabilistic Confusion Entropy for Evaluating Classifiers. Entropy. 15(11). 4969–4992. 13 indexed citations
18.
Yang, Wei & Jinmao Wei. (2013). A semantic set theory for word semantic similarity assessment. 15. 2466–2471. 1 indexed citations
19.
Wei, Jinmao, Xiaojie Yuan, Qinghua Hu, & Shuqin Wang. (2009). A novel measure for evaluating classifiers. Expert Systems with Applications. 37(5). 3799–3809. 46 indexed citations
20.
Wei, Jinmao. (2006). Improvement on mining association rules. Journal of Northeast Normal University. 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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