Weizhe Lin

447 total citations
19 papers, 228 citations indexed

About

Weizhe Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Weizhe Lin has authored 19 papers receiving a total of 228 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Weizhe Lin's work include Topic Modeling (6 papers), Multimodal Machine Learning Applications (5 papers) and Natural Language Processing Techniques (4 papers). Weizhe Lin is often cited by papers focused on Topic Modeling (6 papers), Multimodal Machine Learning Applications (5 papers) and Natural Language Processing Techniques (4 papers). Weizhe Lin collaborates with scholars based in United Kingdom, China and United States. Weizhe Lin's co-authors include Qingbiao Li, Amanda Prorok, Zhe Liu, Bill Byrne, Marwa Mahmoud, Mingyu Liu, Gabriela Pavarini, Javad Shamsi, Yuqi Sun and Zhilin Wang and has published in prestigious journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Affective Computing and Nature Machine Intelligence.

In The Last Decade

Weizhe Lin

15 papers receiving 220 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weizhe Lin United Kingdom 5 90 85 38 34 33 19 228
Haotian Jiang United States 12 51 0.6× 47 0.6× 12 0.3× 86 2.5× 9 0.3× 35 341
Puneet Kumar India 10 86 1.0× 158 1.9× 92 2.4× 19 0.6× 10 0.3× 29 315
Nikhil Marriwala India 10 25 0.3× 53 0.6× 36 0.9× 89 2.6× 7 0.2× 33 334
R. Kishore Kanna India 13 56 0.6× 81 1.0× 24 0.6× 37 1.1× 26 0.8× 59 403
Ronan Flynn Ireland 11 151 1.7× 52 0.6× 60 1.6× 54 1.6× 14 0.4× 56 388
Slim Ben Saoud Tunisia 10 37 0.4× 45 0.5× 20 0.5× 87 2.6× 64 1.9× 49 292
Umair Ali Khan Pakistan 11 63 0.7× 36 0.4× 13 0.3× 94 2.8× 18 0.5× 34 282
Gibrán Fuentes-Pineda Mexico 9 54 0.6× 103 1.2× 69 1.8× 10 0.3× 23 0.7× 36 251
J. A. Rincon Spain 9 44 0.5× 87 1.0× 50 1.3× 40 1.2× 10 0.3× 36 261
Min Peng China 11 253 2.8× 119 1.4× 156 4.1× 10 0.3× 12 0.4× 29 455

Countries citing papers authored by Weizhe Lin

Since Specialization
Citations

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

Fields of papers citing papers by Weizhe Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weizhe Lin

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

All Works

19 of 19 papers shown
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Cao, Kai, Yunze Liu, Miao Liu, et al.. (2025). X-LeBench: A Benchmark for Extremely Long Egocentric Video Understanding. arXiv (Cornell University). 15206–15222. 1 indexed citations
3.
Wu, Bin, et al.. (2025). A case report of hepatocarcinoma-originated pericardial malignancy. Frontiers in Cardiovascular Medicine. 12. 1643805–1643805.
4.
Lin, Weizhe, et al.. (2024). PreFLMR: Scaling Up Fine-Grained Late-Interaction Multi-modal Retrievers. 5294–5316. 1 indexed citations
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Lin, Weizhe, et al.. (2024). Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning. 5333–5347. 4 indexed citations
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Tseng, Bo-Hsiang, et al.. (2023). More Robust Schema-Guided Dialogue State Tracking via Tree-Based Paraphrase Ranking. 1443–1454. 1 indexed citations
9.
Lin, Weizhe, Zhilin Wang, & Bill Byrne. (2023). FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering. 149–157. 2 indexed citations
10.
Lin, Weizhe, et al.. (2023). An Inner Table Retriever for Robust Table Question Answering. 9909–9926. 3 indexed citations
11.
Ji, Kangyu, Weizhe Lin, Yuqi Sun, et al.. (2023). Self-supervised deep learning for tracking degradation of perovskite light-emitting diodes with multispectral imaging. Nature Machine Intelligence. 5(11). 1225–1235. 20 indexed citations
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Lin, Weizhe & Bill Byrne. (2022). Retrieval Augmented Visual Question Answering with Outside Knowledge. Apollo (University of Cambridge). 11238–11254. 26 indexed citations
15.
Li, Qingbiao, Weizhe Lin, Zhe Liu, & Amanda Prorok. (2021). Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning. IEEE Robotics and Automation Letters. 6(3). 5533–5540. 109 indexed citations
16.
Lin, Weizhe, et al.. (2021). Looking at the Body: Automatic Analysis of Body Gestures and Self-Adaptors in Psychological Distress. IEEE Transactions on Affective Computing. 14(2). 1175–1187. 9 indexed citations
17.
Lin, Weizhe, et al.. (2020). Multimodal Deep Learning Framework for Mental Disorder Recognition. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 344–350. 45 indexed citations
18.
Lin, Weizhe, et al.. (2020). Automatic Detection of Self-Adaptors for Psychological Distress. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 371–378. 4 indexed citations
19.
Wang, Zhilin, et al.. (2019). No, you’re not alone: A better way to find people with similar experiences on Reddit. 307–315. 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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