Fuxin Li

8.6k total citations · 3 hit papers
129 papers, 4.2k citations indexed

About

Fuxin Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Fuxin Li has authored 129 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 29 papers in Artificial Intelligence and 23 papers in Molecular Biology. Recurrent topics in Fuxin Li's work include Advanced Neural Network Applications (14 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Explainable Artificial Intelligence (XAI) (8 papers). Fuxin Li is often cited by papers focused on Advanced Neural Network Applications (14 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Explainable Artificial Intelligence (XAI) (8 papers). Fuxin Li collaborates with scholars based in United States, China and Germany. Fuxin Li's co-authors include Zhongang Qi, Wenxuan Wu, James M. Rehg, Cristian Sminchisescu, Chanho Kim, Arridhana Ciptadi, Ahmad Humayun, Taeyoung Kim, David Tsai and Liefeng Bo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Scientific Reports.

In The Last Decade

Fuxin Li

119 papers receiving 4.1k citations

Hit Papers

PointConv: Deep Convolutional Networks on 3D P... 2013 2026 2017 2021 2019 2015 2013 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fuxin Li United States 28 1.9k 930 706 644 507 129 4.2k
José García‐Rodríguez Spain 21 1.4k 0.7× 214 0.2× 604 0.9× 267 0.4× 397 0.8× 124 3.3k
Jun Wang China 43 4.2k 2.2× 1.5k 1.6× 751 1.1× 934 1.5× 591 1.2× 343 7.5k
Rui Wang China 27 1.1k 0.5× 372 0.4× 480 0.7× 107 0.2× 103 0.2× 292 3.0k
Hui Huang China 39 2.4k 1.2× 1.7k 1.8× 291 0.4× 940 1.5× 608 1.2× 269 5.2k
David Page United States 22 918 0.5× 226 0.2× 348 0.5× 125 0.2× 98 0.2× 107 2.1k
Ge Li China 31 2.7k 1.4× 415 0.4× 1.7k 2.5× 165 0.3× 211 0.4× 257 5.1k
Hui Zhang China 33 1.6k 0.8× 360 0.4× 790 1.1× 104 0.2× 116 0.2× 376 4.6k
Gang Yu China 26 4.8k 2.5× 204 0.2× 1.4k 2.0× 129 0.2× 258 0.5× 108 6.2k
Lin Zhang China 43 5.1k 2.6× 243 0.3× 396 0.6× 61 0.1× 108 0.2× 309 7.7k
Xiaohui Yuan United States 36 1.9k 1.0× 107 0.1× 949 1.3× 70 0.1× 406 0.8× 225 5.5k

Countries citing papers authored by Fuxin Li

Since Specialization
Citations

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

Fields of papers citing papers by Fuxin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fuxin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Fuxin Li. A scholar is included among the top collaborators of Fuxin Li 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 Fuxin Li. Fuxin Li 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.
Wang, Xueyang, Min Zhang, Fuxin Li, et al.. (2025). Genome-Wide Association Study Reveals Key Genetic Loci Controlling Oil Content in Soybean Seeds. Agronomy. 15(8). 1889–1889. 2 indexed citations
3.
Li, Fuxin, Lanxin Li, Chunyan Liu, et al.. (2024). QTL Mapping and Data Mining to Identify Genes Associated with Soybean Epicotyl Length Using Cultivated Soybean and Wild Soybean. International Journal of Molecular Sciences. 25(6). 3296–3296. 1 indexed citations
4.
Kim, Chanho, et al.. (2024). Space–time recurrent memory network. Computer Vision and Image Understanding. 241. 103943–103943. 1 indexed citations
5.
Peri, Skand Vishwanath, et al.. (2024). Point Cloud Models Improve Visual Robustness in Robotic Learners. 17529–17536. 1 indexed citations
6.
Ma, Cathleen, Ekaterina Peremyslova, Yuan Jiang, et al.. (2024). Genome‐wide association study and network analysis of in vitro transformation in Populus trichocarpa support key roles of diverse phytohormone pathways and cross talk. New Phytologist. 242(5). 2059–2076. 8 indexed citations
7.
Wang, Yang, Guangzhou Wang, Qiang Li, et al.. (2023). The role of ultra-fine supplementary cementitious materials in the durability and microstructure of airport pavement concrete. Construction and Building Materials. 392. 131954–131954. 19 indexed citations
8.
Ma, Cathleen, Ekaterina Peremyslova, Yuan Jiang, et al.. (2023). GWAS identifies candidate genes controlling adventitious rooting in Populus trichocarpa. Horticulture Research. 10(8). uhad125–uhad125. 7 indexed citations
9.
Olson, Matthew, et al.. (2021). Counterfactual state explanations for reinforcement learning agents via generative deep learning. Artificial Intelligence. 295. 103455–103455. 36 indexed citations
10.
Kim, Chanho, Fuxin Li, Mazen Alotaibi, & James M. Rehg. (2021). Discriminative Appearance Modeling with Multi-track Pooling for Real-time Multi-object Tracking. 9548–9557. 57 indexed citations
11.
Chen, Chao, et al.. (2020). Deep Variational Instance Segmentation. arXiv (Cornell University). 33. 4811–4822.
12.
Li, Fuxin, et al.. (2019). HyperGAN: A Generative Model for Diverse, Performant Neural Networks. arXiv (Cornell University). 5361–5369. 2 indexed citations
13.
Hu, Xiao, Fuxin Li, Dimitris Samaras, & Chao Chen. (2019). Topology-Preserving Deep Image Segmentation. arXiv (Cornell University). 32. 5657–5668. 19 indexed citations
15.
Li, Fuxin, et al.. (2017). FILTER SHAPING FOR CONVOLUTIONAL NEURAL NETWORKS. International Conference on Learning Representations. 11 indexed citations
16.
Bai, Yana, Ni Li, Ning Cheng, et al.. (2016). [Disease burden of colorectal cancer in Jinchang cohort].. PubMed. 37(3). 325–8. 2 indexed citations
17.
Li, Fuxin, Guy Lebanon, & Cristian Sminchisescu. (2012). Chebyshev Approximations to the Histogram $\chi^2$ Kernel. arXiv (Cornell University). 3 indexed citations
18.
Li, Fuxin & Cristian Sminchisescu. (2010). Convex Multiple-Instance Learning by Estimating Likelihood Ratio. Neural Information Processing Systems. 23. 1360–1368. 31 indexed citations
19.
Li, Fuxin & Cristian Sminchisescu. (2010). The Feature Selection Path in Kernel Methods. International Conference on Artificial Intelligence and Statistics. 445–452. 4 indexed citations
20.
Li, Fuxin, et al.. (2009). Kernel Learning by Unconstrained Optimization. International Conference on Artificial Intelligence and Statistics. 328–335. 12 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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