Weijiang Yu

1.9k total citations · 1 hit paper
27 papers, 769 citations indexed

About

Weijiang Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Weijiang Yu has authored 27 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 6 papers in Molecular Biology. Recurrent topics in Weijiang Yu's work include Topic Modeling (7 papers), Multimodal Machine Learning Applications (6 papers) and Human Pose and Action Recognition (5 papers). Weijiang Yu is often cited by papers focused on Topic Modeling (7 papers), Multimodal Machine Learning Applications (6 papers) and Human Pose and Action Recognition (5 papers). Weijiang Yu collaborates with scholars based in China, United States and Singapore. Weijiang Yu's co-authors include Qianglong Chen, Bing Qin, Haotian Wang, Xiaocheng Feng, Zhangyin Feng, Weihong Zhong, Weitao Ma, Ting Liu, Lei Huang and Weihua Peng and has published in prestigious journals such as Nature Communications, Bioinformatics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Weijiang Yu

24 papers receiving 745 citations

Hit Papers

A Survey on Hallucination in Large Language Models: Princ... 2024 2026 2025 2024 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weijiang Yu China 12 332 172 168 61 59 27 769
Naveen Kumar India 16 251 0.8× 52 0.3× 127 0.8× 30 0.5× 50 0.8× 59 683
Minbyul Jeong South Korea 9 468 1.4× 229 1.3× 96 0.6× 23 0.4× 101 1.7× 13 736
Francesco Locatello Germany 9 418 1.3× 41 0.2× 168 1.0× 18 0.3× 29 0.5× 27 698
Markus Plass Austria 11 407 1.2× 61 0.4× 85 0.5× 148 2.4× 32 0.5× 24 702
Vaibhav Rajan Singapore 15 270 0.8× 209 1.2× 71 0.4× 10 0.2× 109 1.8× 62 741
Antoine Doucet France 15 468 1.4× 40 0.2× 202 1.2× 29 0.5× 130 2.2× 76 848
Hairong Lv China 19 263 0.8× 273 1.6× 145 0.9× 8 0.1× 82 1.4× 62 891
Rongshan Yu Singapore 18 290 0.9× 206 1.2× 250 1.5× 22 0.4× 11 0.2× 103 1.2k
Sriparna Saha India 17 768 2.3× 240 1.4× 117 0.7× 15 0.2× 158 2.7× 110 1.1k
Laura Dioşan Romania 11 202 0.6× 53 0.3× 60 0.4× 20 0.3× 30 0.5× 74 485

Countries citing papers authored by Weijiang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Weijiang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weijiang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Weijiang Yu. A scholar is included among the top collaborators of Weijiang Yu 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 Weijiang Yu. Weijiang Yu 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.
Li, Wenbing, Chengyang Zhang, Nan Fang, et al.. (2025). CellFM: a large-scale foundation model pre-trained on transcriptomics of 100 million human cells. Nature Communications. 16(1). 4679–4679. 6 indexed citations
2.
Yu, Weijiang, et al.. (2025). Accurately Predicting Cell Type Abundance from Spatial Histology Image Through HPCell. Interdisciplinary Sciences Computational Life Sciences.
3.
Chu, Zheng, Jingchang Chen, Qianglong Chen, et al.. (2024). Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future. 1173–1203. 12 indexed citations
4.
Huang, Lei, Xiaocheng Feng, Weitao Ma, et al.. (2024). Learning Fine-Grained Grounded Citations for Attributed Large Language Models. 14095–14113. 1 indexed citations
5.
Yu, Weijiang, et al.. (2024). Exploring low-resource medical image classification with weakly supervised prompt learning. Pattern Recognition. 149. 110250–110250. 20 indexed citations
6.
Yu, Weijiang, et al.. (2024). CodeSwap: Symmetrically Face Swapping Based on Prior Codebook. 6910–6919. 2 indexed citations
7.
Yu, Weijiang, et al.. (2024). AdaNAS: Adaptively Postprocessing With Self-Supervised Neural Architecture Search for Ensemble Rainfall Forecasts. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–10. 1 indexed citations
8.
Chu, Zheng, Jingchang Chen, Qianglong Chen, et al.. (2024). BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering. 1229–1248. 3 indexed citations
9.
Chu, Zheng, et al.. (2024). TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models. 1204–1228. 2 indexed citations
10.
Wang, Haotian, Weijiang Yu, Qianglong Chen, et al.. (2024). Learning to break: Knowledge-enhanced reasoning in multi-agent debate system. Neurocomputing. 618. 129063–129063. 3 indexed citations
11.
Chen, Jianing, et al.. (2024). Integrating single-cell multi-omics data through self-supervised clustering. Applied Soft Computing. 169. 112541–112541.
12.
Huang, Lei, Weijiang Yu, Weitao Ma, et al.. (2024). A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions. ACM Transactions on Information Systems. 43(2). 1–55. 409 indexed citations breakdown →
13.
Li, Mengfei, Ying Wang, Weijiang Yu, et al.. (2023). Intensive vision-guided network for radiology report generation. Physics in Medicine and Biology. 69(4). 45008–45008.
14.
Yu, Weijiang, et al.. (2023). Knowledge-aware Global Reasoning for Situation Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 1–13. 6 indexed citations
15.
Zeng, Yuansong, Rui Yin, Jianing Chen, et al.. (2023). Identifying spatial domain by adapting transcriptomics with histology through contrastive learning. Briefings in Bioinformatics. 24(2). 31 indexed citations
16.
Zeng, Yuansong, Qianmu Yuan, Sheng Chen, et al.. (2023). Identifying B-cell epitopes using AlphaFold2 predicted structures and pretrained language model. Bioinformatics. 39(4). 29 indexed citations
17.
Zeng, Yuansong, Weijiang Yu, Rui Yin, et al.. (2022). Spatial transcriptomics prediction from histology jointly through Transformer and graph neural networks. Briefings in Bioinformatics. 23(5). 77 indexed citations
18.
Yu, Weijiang, Mengfei Li, Lei Ji, et al.. (2021). Learning from Inside: Self-driven Siamese Sampling and Reasoning for Video Question Answering. Neural Information Processing Systems. 34. 15 indexed citations
19.
Yu, Weijiang, et al.. (2021). Improving Math Word Problems with Pre-trained Knowledge and Hierarchical Reasoning. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 3384–3394. 17 indexed citations
20.
Adra, Chaker N., Imaduddin Kanaan, Kōji Abe, et al.. (1998). Human ARHGDIG, a GDP-Dissociation Inhibitor for Rho Proteins: Genomic Structure, Sequence, Expression Analysis, and Mapping to Chromosome 16p13.3. Genomics. 53(1). 104–109. 16 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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