Xuming Han

1.5k total citations · 1 hit paper
64 papers, 744 citations indexed

About

Xuming Han is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xuming Han has authored 64 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 17 papers in Information Systems and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xuming Han's work include Advanced Clustering Algorithms Research (17 papers), Face and Expression Recognition (9 papers) and Text and Document Classification Technologies (8 papers). Xuming Han is often cited by papers focused on Advanced Clustering Algorithms Research (17 papers), Face and Expression Recognition (9 papers) and Text and Document Classification Technologies (8 papers). Xuming Han collaborates with scholars based in China, Australia and United States. Xuming Han's co-authors include Limin Wang, Limin Wang, Milan Parmar, Yufei Zhang, Muhammet Deveci, Mingyang Li, Lin Yue, Hongzhi Wang, Xinhua Bi and Weitong Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Pattern Recognition.

In The Last Decade

Xuming Han

58 papers receiving 726 citations

Hit Papers

A review of convolutional neural networks in computer vision 2024 2026 2025 2024 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A review of convolutional neural networks in computer vision
    2024 273 citations Limin Wang, Yufei Zhang et al. Artificial Intelligence Review profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xuming Han China 12 311 181 70 68 51 64 744
Kazi Md. Rokibul Alam Bangladesh 11 214 0.7× 191 1.1× 64 0.9× 49 0.7× 65 1.3× 49 775
Bin Zou China 15 293 0.9× 209 1.2× 60 0.9× 65 1.0× 41 0.8× 76 734
Kun Zhao China 12 196 0.6× 153 0.8× 42 0.6× 59 0.9× 43 0.8× 47 711
Fa Zhu China 18 362 1.2× 271 1.5× 56 0.8× 53 0.8× 35 0.7× 52 843
Xiangli Yang China 3 322 1.0× 215 1.2× 47 0.7× 52 0.8× 37 0.7× 7 670
Zixing Song Hong Kong 10 492 1.6× 255 1.4× 111 1.6× 52 0.8× 38 0.7× 15 879
Ruizhi Sun China 14 267 0.9× 139 0.8× 54 0.8× 51 0.8× 24 0.5× 70 607
Riadh Ksantini Canada 13 242 0.8× 200 1.1× 47 0.7× 66 1.0× 20 0.4× 72 568
Prospero C. Naval Philippines 12 357 1.1× 171 0.9× 36 0.5× 87 1.3× 85 1.7× 46 1.1k

Countries citing papers authored by Xuming Han

Since Specialization
Citations

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

Fields of papers citing papers by Xuming Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuming Han

This figure shows the co-authorship network connecting the top 25 collaborators of Xuming Han. A scholar is included among the top collaborators of Xuming Han 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 Xuming Han. Xuming Han 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.
Zhou, Ting, et al.. (2025). A binary linear predictive evolutionary algorithm with feature analysis for multiobjective feature selection in classification. Engineering Applications of Artificial Intelligence. 152. 110733–110733. 3 indexed citations
2.
Han, Xuming, et al.. (2024). TAILOR: InTer-feAture distinctIon fiLter fusiOn pRuning. Information Sciences. 665. 120229–120229. 2 indexed citations
3.
Wang, Limin, et al.. (2024). Efficient and Stable Unsupervised Feature Selection Based on Novel Structured Graph and Data Discrepancy Learning. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 6229–6243. 4 indexed citations
4.
Zhang, Yufei, et al.. (2024). A convolutional neural network based on an evolutionary algorithm and its application. Information Sciences. 670. 120644–120644. 6 indexed citations
5.
Wang, Limin, et al.. (2024). A review of convolutional neural networks in computer vision. Artificial Intelligence Review. 57(4). 273 indexed citations breakdown →
6.
Huang, Shan, et al.. (2023). Targeted mining of top-k high utility itemsets. Engineering Applications of Artificial Intelligence. 126. 107047–107047. 8 indexed citations
7.
Wang, Limin, et al.. (2023). Adaptive Density Spatial Clustering Method Fusing Chameleon Swarm Algorithm. Entropy. 25(5). 782–782. 10 indexed citations
8.
Han, Xuming, et al.. (2023). Confidence-Based Similarity-Aware Personalized Federated Learning for Autonomous IoT. IEEE Internet of Things Journal. 11(7). 13070–13081. 7 indexed citations
9.
Zhou, Shan, Mohammad S. Obaidat, Bander Alzahrani, et al.. (2023). Transferability of Adversarial Attacks on Tiny Deep Learning Models for IoT Unmanned Aerial Vehicles. IEEE Internet of Things Journal. 11(12). 21037–21045. 8 indexed citations
10.
Wang, Ke, Zicong Chen, Xuan Fan, et al.. (2023). Uncovering Hidden Vulnerabilities in Convolutional Neural Networks through Graph-based Adversarial Robustness Evaluation. Pattern Recognition. 143. 109745–109745. 3 indexed citations
11.
12.
Han, Xuming, et al.. (2020). An Efficient Universal Bee Colony Optimization Algorithm. Tehnicki vjesnik - Technical Gazette. 27(1).
13.
Zhao, Jianping, et al.. (2020). A Wolf Pack Optimization Theory Based Improved Density Peaks Clustering Approach. Tehnicki vjesnik - Technical Gazette. 27(6). 1 indexed citations
14.
Wang, Limin, et al.. (2019). A Novel Density Peaks Clustering Halo Node Assignment Method Based on K-Nearest Neighbor Theory. IEEE Access. 7. 174380–174390. 8 indexed citations
15.
Wang, Limin, et al.. (2018). Improved Density Peak Clustering Algorithm Based on Choosing Strategy Automatically for Cut-off Distance and Cluster Centre. Tehnicki vjesnik - Technical Gazette. 25(2). 6 indexed citations
16.
Wang, Limin, et al.. (2018). Gravity Theory-Based Affinity Propagation Clustering Algorithm and Its Applications. Tehnicki vjesnik - Technical Gazette. 25(4). 9 indexed citations
17.
Wang, Limin, et al.. (2017). Improved Fruit Fly Optimization Algorithm-based density peak clustering and its applications. Tehnicki vjesnik - Technical Gazette. 24(2). 7 indexed citations
18.
Xing, Tao, et al.. (2016). Semi-supervised affinity propagation based on density peaks. Tehnicki vjesnik - Technical Gazette. 23(6). 4 indexed citations
19.
Wang, Limin, Qiang Ji, & Xuming Han. (2016). Adaptive semi-supervised affinity propagation clustering algorithm based on structural similarity. Tehnicki vjesnik - Technical Gazette. 23(2). 10 indexed citations
20.
Han, Xuming & Limin Wang. (2008). Stock Company Comprehensive Assessment Model Based on Kohonen Network. 185–188. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Kazi Md. Rokibul Alam Breakdown of academic impact, for papers by Bin Zou Breakdown of academic impact, for papers by Kun Zhao Breakdown of academic impact, for papers by Fa Zhu Breakdown of academic impact, for papers by Xiangli Yang Breakdown of academic impact, for papers by Zixing Song Breakdown of academic impact, for papers by Ruizhi Sun Breakdown of academic impact, for papers by Riadh Ksantini Breakdown of academic impact, for papers by Prospero C. Naval
Rankless by CCL
2026