Wei Su

775 total citations
57 papers, 405 citations indexed

About

Wei Su is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Wei Su has authored 57 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 9 papers in Computational Theory and Mathematics. Recurrent topics in Wei Su's work include Multimodal Machine Learning Applications (9 papers), Mathematics, Computing, and Information Processing (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Wei Su is often cited by papers focused on Multimodal Machine Learning Applications (9 papers), Mathematics, Computing, and Information Processing (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Wei Su collaborates with scholars based in China, United States and Australia. Wei Su's co-authors include Yuan Yuan, Dandan Ma, Nirwan Ansari, Yun Q. Shi, Zhicheng Ni, Peihan Miao, Jiuwen Zhang, Xiang Zhang, Jinzhao Wu and Yongna Yuan and has published in prestigious journals such as IEEE Transactions on Image Processing, Expert Systems with Applications and Journal of Computational Chemistry.

In The Last Decade

Wei Su

50 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei Su China	10	213	64	59	26	24	57	405
Hossein Amiri Tunisia	9	127 0.6×	36 0.6×	65 1.1×	13 0.5×	3 0.1×	32	256
Maurice Milgram France	12	294 1.4×	42 0.7×	128 2.2×	14 0.5×	10 0.4×	54	418
Nirmalya Thakur United States	10	119 0.6×	20 0.3×	117 2.0×	16 0.6×	2 0.1×	38	420
Apichart Intarapanich Thailand	11	78 0.4×	32 0.5×	29 0.5×	98 3.8×	4 0.2×	36	373
Kenneth Lai Canada	10	105 0.5×	6 0.1×	49 0.8×	16 0.6×	5 0.2×	36	320
Daniel Reichman United States	8	137 0.6×	24 0.4×	79 1.3×	8 0.3×	27 1.1×	33	393
Jianing Qiu United Kingdom	13	135 0.6×	16 0.3×	115 1.9×	48 1.8×	5 0.2×	37	647
Darren Dancey United Kingdom	9	79 0.4×	34 0.5×	179 3.0×	12 0.5×	5 0.2×	19	491
Charles Poynton United Kingdom	10	410 1.9×	97 1.5×	38 0.6×	17 0.7×	2 0.1×	25	686
Tuan Anh Tran Vietnam	11	198 0.9×	29 0.5×	63 1.1×	2 0.1×	7 0.3×	45	395

Countries citing papers authored by Wei Su

Since Specialization

Citations

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

Fields of papers citing papers by Wei Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Su

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yuan, Yongna, et al.. (2025). PHGL-DDI: A pre-training based hierarchical graph learning framework for drug-drug interaction prediction. Expert Systems with Applications. 270. 126408–126408. 3 indexed citations

Zhang, Yingying, Xinyi Chen, Yufeng Liu, et al.. (2025). Morphological and molecular characteristics of swine coccidia based on single oocyst isolation. Parasitology Research. 124(1). 10–10.

Yu, Dan, Wei Su, Miao Fan, et al.. (2025). Paediatric varicella epidemiology in urban Beijing, China, 2014–2023. Emerging Microbes & Infections. 14(1). 2467773–2467773.

Li, Xiaohong, et al.. (2025). A 3D generation framework using diffusion model and reinforcement learning to generate multi-target compounds with desired properties. Journal of Cheminformatics. 17(1). 93–93. 2 indexed citations

Yuan, Yongna, et al.. (2024). Heterogenous biological network multi-task learning model for ncRNA-disease-drug association prediction. Knowledge-Based Systems. 300. 112222–112222. 2 indexed citations

Su, Wei, et al.. (2024). Analysis of the Correlation between Awareness of HIV/AIDS and Willingness to Use Condom among 3128 Freshmen in a University in the Border Area. Journal of Biosciences and Medicines. 12(12). 137–146.

Su, Wei, et al.. (2024). ScanFormer: Referring Expression Comprehension by Iteratively Scanning. 13449–13458. 4 indexed citations

Su, Wei, et al.. (2024). Improving Braille–Chinese translation with jointly trained and pre-trained language models. Displays. 82. 102660–102660. 2 indexed citations

Su, Wei, Lei Liu, Jing Zhang, et al.. (2024). Enhancing Chinese–Braille translation: A two-part approach with token prediction and segmentation labeling. Displays. 84. 102819–102819. 1 indexed citations

10.

Su, Wei, et al.. (2023). Referring Expression Comprehension Using Language Adaptive Inference. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 2357–2365. 9 indexed citations

11.

Yuan, Yongna, Yuhao Zhang, Zhenyu Liu, et al.. (2023). EDC-DTI: An end-to-end deep collaborative learning model based on multiple information for drug-target interactions prediction. Journal of Molecular Graphics and Modelling. 122. 108498–108498. 10 indexed citations

12.

Su, Wei, Fan Jiang, Chunyan Shi, et al.. (2023). An XGBoost-Based Knowledge Tracing Model. International Journal of Computational Intelligence Systems. 16(1). 22 indexed citations

13.

Su, Wei & Xiang Zhang. (2023). Predator–prey model with sigmoid functional response. Studies in Applied Mathematics. 152(3). 868–902. 2 indexed citations

14.

Su, Wei, et al.. (2023). Pre-training model for low-resource Chinese–Braille translation. Displays. 79. 102506–102506. 4 indexed citations

15.

Yuan, Yongna, et al.. (2021). A general RNA force field: comprehensive analysis of energy minima of molecular fragments of RNA. Journal of Molecular Modeling. 27(5). 137–137. 3 indexed citations

16.

Yuan, Yongna, et al.. (2020). Halogen bonds and other noncovalent interactions in the crystal structures of trans-1,2-diiodo alkenes: an ab initio and QTAIM study. Journal of Molecular Modeling. 26(11). 331–331. 5 indexed citations

17.

He, Ying, et al.. (2020). Multiscale dual-level network for hyperspectral image classification. Journal of Electronic Imaging. 29(3). 1–1. 1 indexed citations

18.

Sai, Hong, et al.. (2016). Functional classification study for mathematical formulas retrieval. Lanzhou University Institutional Repository. 38. 99–104. 2 indexed citations

19.

Qiu, Sheng‐Xiang, Xiaogang Xu, Guangxiao Yang, et al.. (2012). Emergence of resistance to fluoroquinolones and third-generation cephalosporins in Shigella flexneri subserotype 1c isolates from China. Clinical Microbiology and Infection. 18(4). E95–E98. 15 indexed citations

20.

Tung, Wei‐Chen, Jie Hu, Jimmy T. Efird, Liping Yu, & Wei Su. (2011). HIV-related knowledge, attitudes and behaviours among college students in China. Health Education Journal. 71(5). 606–616. 5 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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