Li-Ming Zhan

833 total citations
14 papers, 298 citations indexed

About

Li-Ming Zhan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Li-Ming Zhan has authored 14 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Li-Ming Zhan's work include Topic Modeling (4 papers), Multimodal Machine Learning Applications (4 papers) and Data Management and Algorithms (4 papers). Li-Ming Zhan is often cited by papers focused on Topic Modeling (4 papers), Multimodal Machine Learning Applications (4 papers) and Data Management and Algorithms (4 papers). Li-Ming Zhan collaborates with scholars based in Hong Kong, Australia and China. Li-Ming Zhan's co-authors include Xiao-Ming Wu, Bo Liu, Lu Fan, Lin Ma, Yan Yang, Albert Y. S. Lam, Haowen Liang, Yuwei Zhang, Bo Liu and Ying Zhang and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IEEE Transactions on Knowledge and Data Engineering and World Wide Web.

In The Last Decade

Li-Ming Zhan

13 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li-Ming Zhan Hong Kong 8 215 171 28 22 14 14 298
Belinda Zeng United States 6 181 0.8× 176 1.0× 14 0.5× 15 0.7× 13 0.9× 13 264
Chunting Zhou United States 10 302 1.4× 111 0.6× 8 0.3× 22 1.0× 16 1.1× 20 351
Cristiano Russo Italy 9 101 0.5× 116 0.7× 9 0.3× 20 0.9× 31 2.2× 33 211
Shizhe Diao Hong Kong 9 208 1.0× 75 0.4× 5 0.2× 21 1.0× 25 1.8× 23 280
Yupan Huang China 4 211 1.0× 295 1.7× 5 0.2× 14 0.6× 35 2.5× 6 376
Chaofan Tao Hong Kong 6 122 0.6× 64 0.4× 30 1.1× 4 0.2× 6 0.4× 12 169
Aoxiao Zhong United States 6 65 0.3× 61 0.4× 59 2.1× 11 0.5× 6 0.4× 9 167
Changmeng Zheng China 10 427 2.0× 194 1.1× 31 1.1× 6 0.3× 37 2.6× 19 497

Countries citing papers authored by Li-Ming Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Li-Ming Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li-Ming Zhan

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

All Works

14 of 14 papers shown
1.
Liang, Haowen, et al.. (2023). Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training. 11105–11121. 5 indexed citations
2.
Лю, Бо, et al.. (2023). Towards LLM-driven Dialogue State Tracking. 739–755. 9 indexed citations
3.
Wang, Peng, et al.. (2023). Effect of bend-induced inlet distortion on a centrifugal compressor performance and stall inception. Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering. 237(11). 2561–2576.
4.
Zhan, Li-Ming, et al.. (2022). Medical Visual Question Answering via Conditional Reasoning and Contrastive Learning. IEEE Transactions on Medical Imaging. 42(5). 1532–1545. 22 indexed citations
5.
Zhang, Yuwei, et al.. (2022). New Intent Discovery with Pre-training and Contrastive Learning. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 256–269. 24 indexed citations
6.
Liang, Haowen, Yuwei Zhang, Li-Ming Zhan, et al.. (2022). Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pre-training and Isotropization. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 13 indexed citations
7.
8.
Zhan, Li-Ming, Haowen Liang, Bo Liu, et al.. (2021). Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training. 3521–3532. 31 indexed citations
9.
Zhan, Li-Ming, et al.. (2020). Medical Visual Question Answering via Conditional Reasoning. 2345–2354. 80 indexed citations
10.
11.
Zhan, Li-Ming, Ying Zhang, Wenjie Zhang, Xiaoyang Wang, & Xuemin Lin. (2015). Range Search on Uncertain Trajectories. 921–930. 4 indexed citations
12.
Zhang, Wenjie, Li-Ming Zhan, Ying Zhang, Muhammad Aamir Cheema, & Xuemin Lin. (2013). Efficient top-k similarity join processing over multi-valued objects. World Wide Web. 17(3). 285–309. 4 indexed citations
13.
Zhan, Li-Ming, Ying Zhang, Wenjie Zhang, & Xuemin Lin. (2012). Finding top k most influential spatial facilities over uncertain objects. 922–931. 10 indexed citations
14.
Niu, Jianlei, et al.. (2002). Performance of a Novel HVAC System in Hot and Humid Weather Conditions: Chilled-ceiling Combined with Desiccant Cooling. HKIE Transactions. 9(2). 25–29. 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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2026