Minghui Li

1.7k total citations
84 papers, 1.1k citations indexed

About

Minghui Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Minghui Li has authored 84 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 9 papers in Information Systems. Recurrent topics in Minghui Li's work include Adversarial Robustness in Machine Learning (17 papers), Privacy-Preserving Technologies in Data (12 papers) and Cryptography and Data Security (10 papers). Minghui Li is often cited by papers focused on Adversarial Robustness in Machine Learning (17 papers), Privacy-Preserving Technologies in Data (12 papers) and Cryptography and Data Security (10 papers). Minghui Li collaborates with scholars based in China, Australia and United States. Minghui Li's co-authors include Shengshan Hu, Qian Wang, Yanjiao Chen, Hai Jin, Cong Wang, Leo Yu Zhang, Sherman S. M. Chow, Xiangyang Luo, Minxin Du and Jianhua He and has published in prestigious journals such as Bioinformatics, PLoS ONE and Applied Catalysis B: Environmental.

In The Last Decade

Minghui Li

71 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minghui Li China 18 437 239 204 147 114 84 1.1k
Yun Li China 17 517 1.2× 223 0.9× 404 2.0× 59 0.4× 35 0.3× 104 1.3k
Satya Prakash Yadav India 19 173 0.4× 128 0.5× 145 0.7× 124 0.8× 7 0.1× 89 1.3k
Ashish Kumar Maurya India 16 143 0.3× 219 0.9× 42 0.2× 296 2.0× 21 0.2× 74 783
Liangyin Chen China 18 252 0.6× 158 0.7× 102 0.5× 212 1.4× 18 0.2× 93 1.2k
Eisa Alanazi Saudi Arabia 16 230 0.5× 159 0.7× 105 0.5× 253 1.7× 15 0.1× 41 914
Hongwei Ding China 17 352 0.8× 105 0.4× 173 0.8× 158 1.1× 19 0.2× 80 966
Xiaolu Zhang China 18 323 0.7× 224 0.9× 156 0.8× 290 2.0× 4 0.0× 100 1.1k
Cong Liu China 16 704 1.6× 94 0.4× 296 1.5× 50 0.3× 10 0.1× 58 1.2k
Xiaoyuan Yang China 19 337 0.8× 395 1.7× 243 1.2× 447 3.0× 14 0.1× 113 1.2k
Ashraf Darwish Egypt 14 376 0.9× 100 0.4× 188 0.9× 371 2.5× 14 0.1× 64 1.2k

Countries citing papers authored by Minghui Li

Since Specialization
Citations

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

Fields of papers citing papers by Minghui Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghui Li

This figure shows the co-authorship network connecting the top 25 collaborators of Minghui Li. A scholar is included among the top collaborators of Minghui 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 Minghui Li. Minghui 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.
Cao, Yanhong, Dan Wei, Minghui Li, et al.. (2025). Evaluation of the potential value of artificial intelligence (AI) in public health using fluoride intake as the example. Ecotoxicology and Environmental Safety. 291. 117805–117805. 1 indexed citations
2.
Li, Minghui & Hongxun Yao. (2025). FMVP: Fine-grained Meta Visual Prompt enabled domain-specific few-shot classification. Neurocomputing. 633. 129688–129688.
3.
Yu, Jing, et al.. (2025). Mitigating bias in AI mortality predictions for minority populations: a transfer learning approach. BMC Medical Informatics and Decision Making. 25(1). 30–30. 6 indexed citations
4.
5.
Li, Saisai, et al.. (2025). Elaborately-designed high-service performance carbon refractory brick through refreshing the pore structure. Construction and Building Materials. 475. 141226–141226.
6.
Li, Minghui, Jing Jiang, & Hongxun Yao. (2025). Drop inherent biases: Multi-level attention calibration for robust cross-domain few-shot classification. Neurocomputing. 636. 130056–130056.
7.
Zhou, Ziqi, Minghui Li, Xianlong Wang, et al.. (2025). PB-UAP: Hybride Universal Adversarial Attack for Image Segmentation. 1–5. 1 indexed citations
8.
Zhou, Ziqi, et al.. (2025). Test-Time Backdoor Detection for Object Detection Models. 24377–24386.
9.
10.
11.
Xue, Jingfeng, et al.. (2024). SDP-MTF: A Composite Transfer Learning and Feature Fusion for Cross-Project Software Defect Prediction. Electronics. 13(13). 2439–2439. 2 indexed citations
12.
Li, Minghui, et al.. (2024). Cross‐scale resolution consistent network for salient object detection. IET Image Processing. 18(10). 2788–2799.
13.
Hu, Shengshan, Leo Yu Zhang, Junyu Shi, et al.. (2024). Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability. 3365–3384. 8 indexed citations
14.
Hu, Shengshan, et al.. (2023). PointCRT: Detecting Backdoor in 3D Point Cloud via Corruption Robustness. Griffith Research Online (Griffith University, Queensland, Australia). 666–675. 6 indexed citations
15.
Hu, Shengshan, Wei Liu, Junhui Hou, et al.. (2023). PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 872–880. 8 indexed citations
16.
Zhang, Yuchao, Yusen Li, Ke Xu, et al.. (2019). Communication-Aware Container Placement and Reassignment in Large-Scale Internet Data Centers. IEEE Journal on Selected Areas in Communications. 37(3). 540–555. 63 indexed citations
17.
Chen, Yanjiao, et al.. (2018). CReam: A Smart Contract Enabled Collusion-Resistant e-Auction. IEEE Transactions on Information Forensics and Security. 14(7). 1687–1701. 80 indexed citations
18.
Li, Minghui, et al.. (2010). Rapid Background Extraction and Update Algorithm. Jisuanji gongcheng.
19.
Li, Chi-Ho, Minghui Li, Dongdong Zhang, et al.. (2007). A Probabilistic Approach to Syntax-based Reordering for Statistical Machine Translation. Meeting of the Association for Computational Linguistics. 720–727. 62 indexed citations
20.
Liu, Tao, Bingquan Liu, Xiaolong Wang, & Minghui Li. (2007). The Effectiveness Study of Local Maximum Feature for Chinese Unknown Word Identification.. 17. 15–26. 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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