Weiming Lü

1.6k total citations
102 papers, 1.0k citations indexed

About

Weiming Lü is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Weiming Lü has authored 102 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 16 papers in Information Systems. Recurrent topics in Weiming Lü's work include Topic Modeling (26 papers), Natural Language Processing Techniques (16 papers) and Advanced Image and Video Retrieval Techniques (15 papers). Weiming Lü is often cited by papers focused on Topic Modeling (26 papers), Natural Language Processing Techniques (16 papers) and Advanced Image and Video Retrieval Techniques (15 papers). Weiming Lü collaborates with scholars based in China, Australia and United States. Weiming Lü's co-authors include Yongliang Shen, Yueting Zhuang, Zeqi Tan, Fei Wu, Xinyin Ma, Baogang Wei, Xi Li, Wen Wang, Shuai Zhang and Jiangqin Wu and has published in prestigious journals such as IEEE Transactions on Power Systems, IEEE Transactions on Image Processing and Energy storage materials.

In The Last Decade

Weiming Lü

86 papers receiving 982 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weiming Lü China 18 537 214 137 102 66 102 1.0k
Kun Kuang China 18 838 1.6× 248 1.2× 198 1.4× 53 0.5× 46 0.7× 102 1.2k
Tong Liu China 18 374 0.7× 124 0.6× 83 0.6× 38 0.4× 30 0.5× 58 835
George Obaido South Africa 13 329 0.6× 62 0.3× 69 0.5× 45 0.4× 41 0.6× 32 806
Yifang Qin China 14 357 0.7× 129 0.6× 169 1.2× 25 0.2× 58 0.9× 37 644
Shengbin Jia China 6 434 0.8× 65 0.3× 113 0.8× 94 0.9× 67 1.0× 11 696
Xiaojun Chen China 6 402 0.7× 68 0.3× 99 0.7× 88 0.9× 49 0.7× 13 642
Wei Ju China 21 597 1.1× 207 1.0× 207 1.5× 37 0.4× 89 1.3× 75 1.0k
Qusai Y. Shambour Jordan 15 421 0.8× 214 1.0× 636 4.6× 83 0.8× 35 0.5× 71 1.2k
S. Sowmya Kamath India 17 399 0.7× 217 1.0× 135 1.0× 41 0.4× 72 1.1× 119 934
R. Bharat Rao Germany 14 505 0.9× 218 1.0× 87 0.6× 35 0.3× 94 1.4× 36 882

Countries citing papers authored by Weiming Lü

Since Specialization
Citations

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

Fields of papers citing papers by Weiming Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiming Lü

This figure shows the co-authorship network connecting the top 25 collaborators of Weiming Lü. A scholar is included among the top collaborators of Weiming Lü 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 Weiming Lü. Weiming Lü 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
2.
Wu, Xingyu, Yuchen Yan, Wenqi Zhang, et al.. (2025). SVGenius: Benchmarking LLMs in SVG Understanding, Editing and Generation. 13289–13296.
3.
Shen, Yongliang, et al.. (2024). Progressive Tuning: Towards Generic Sentiment Abilities for Large Language Models. 14392–14402. 3 indexed citations
4.
5.
Liu, Yifei, Ang Li, Changlong Sun, et al.. (2024). Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge. 2782–2792. 1 indexed citations
6.
Liu, Yifei, et al.. (2024). De-biased Attention Supervision for Text Classification with Causality. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 19279–19287. 3 indexed citations
7.
Zhou, Siying, Yifei Liu, Weiming Lü, et al.. (2023). Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration. 12060–12075. 8 indexed citations
8.
Zhou, Panpan, Xuezhang Xiao, Xinyu Zhu, et al.. (2023). Machine learning enabled customization of performance-oriented hydrogen storage materials for fuel cell systems. Energy storage materials. 63. 102964–102964. 55 indexed citations
9.
Shen, Yongliang, et al.. (2023). Enhancing Emotion Recognition in Conversation via Multi-view Feature Alignment and Memorization. 12651–12663. 2 indexed citations
10.
Shen, Yongliang, Xiaobin Wang, Zeqi Tan, et al.. (2022). Parallel Instance Query Network for Named Entity Recognition. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 947–961. 43 indexed citations
11.
Liu, Yifei, Weiming Lü, Yating Zhang, et al.. (2022). Towards Interactivity and Interpretability: A Rationale-based Legal Judgment Prediction Framework. 4787–4799. 17 indexed citations
12.
Shen, Yongliang, Xinyin Ma, Zeqi Tan, et al.. (2021). Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition. 2782–2794. 110 indexed citations
13.
Wu, Weixiang, Jianhua Lu, Xiaolin Ruan, et al.. (2021). Maternal essential metals, thyroid hormones, and fetal growth: Association and mediation analyses in Chinese pregnant women. Journal of Trace Elements in Medicine and Biology. 68. 126809–126809. 9 indexed citations
14.
Wu, Fei, Weiming Lü, Yi Yang, et al.. (2017). Identifying Objective and Subjective Words via Topic Modeling. IEEE Transactions on Neural Networks and Learning Systems. 29(3). 718–730. 21 indexed citations
15.
Tang, Siliang, Fei Wu, Si Li, et al.. (2015). Sketch the storyline with CHARCOAL: a non-parametric approach. International Conference on Artificial Intelligence. 3841–3848. 9 indexed citations
16.
Lü, Weiming, Jiangqin Wu, Baogang Wei, & Yueting Zhuang. (2011). Efficient shape matching for Chinese calligraphic character retrieval. Journal of Zhejiang University SCIENCE C. 12(11). 873–884. 9 indexed citations
17.
Lin, Xiaohui, et al.. (2008). The crossing numbers of generalized Petersen graphs with small order. Discrete Applied Mathematics. 157(5). 1016–1023. 4 indexed citations
18.
Lü, Weiming. (2007). A Modular Petri Net For The Asynchronous Communications. Jisuanji fangzhen. 1 indexed citations
19.
Li, Songqi, Jensen Tung‐Chung Poon, Zuojun Hu, et al.. (2004). Review of experience over four decades in the management of carotid body tumours. The HKU Scholars Hub (University of Hong Kong). 8(4). 141–144. 3 indexed citations
20.
Lü, Weiming. (1987). Two algorithms for variable allocation in an Interpreted Scheme. Journal of Computer Science and Technology. 2(2). 133–144.

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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