Chun-Fu Richard Chen

2.2k total citations · 1 hit paper
12 papers, 1.4k citations indexed

About

Chun-Fu Richard Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Chun-Fu Richard Chen has authored 12 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 1 paper in Molecular Biology. Recurrent topics in Chun-Fu Richard Chen's work include Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Human Pose and Action Recognition (4 papers). Chun-Fu Richard Chen is often cited by papers focused on Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Human Pose and Action Recognition (4 papers). Chun-Fu Richard Chen collaborates with scholars based in United States and Taiwan. Chun-Fu Richard Chen's co-authors include Rameswar Panda, Quanfu Fan, Rogério Feris, Aude Oliva, Kate Saenko, Ximeng Sun, John Cohn, Yoon Kim, Nuno Vasconcelos and Leonid Karlinsky and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Chun-Fu Richard Chen

10 papers receiving 1.3k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

2021 1.2k citations Chun-Fu Richard Chen, Quanfu Fan et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chun-Fu Richard Chen United States	6	797	395	199	153	115	12	1.4k
Tian-Xing Xu China	5	706 0.9×	347 0.9×	205 1.0×	128 0.8×	116 1.0×	12	1.5k
Xiaoyi Dong China	11	1.0k 1.3×	504 1.3×	252 1.3×	105 0.7×	102 0.9×	26	1.6k
Yehui Tang China	15	862 1.1×	491 1.2×	199 1.0×	100 0.7×	69 0.6×	19	1.4k
Pengfei Chen China	10	994 1.2×	340 0.9×	302 1.5×	152 1.0×	105 0.9×	18	1.6k
Zihang Jiang China	11	1.2k 1.5×	570 1.4×	263 1.3×	156 1.0×	93 0.8×	23	1.9k
Quan Zhou China	22	1.1k 1.4×	537 1.4×	174 0.9×	144 0.9×	92 0.8×	102	1.7k
Mengchen Liu United Kingdom	6	1.3k 1.6×	438 1.1×	301 1.5×	126 0.8×	128 1.1×	7	1.9k
Panqu Wang United States	3	895 1.1×	299 0.8×	280 1.4×	149 1.0×	101 0.9×	6	1.4k
Quanfu Fan United States	18	1.3k 1.6×	587 1.5×	251 1.3×	157 1.0×	154 1.3×	48	2.1k

Countries citing papers authored by Chun-Fu Richard Chen

Since Specialization

Citations

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

Fields of papers citing papers by Chun-Fu Richard Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Fu Richard Chen. 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 Chun-Fu Richard Chen. The network helps show where Chun-Fu Richard Chen may publish in the future.

Co-authorship network of co-authors of Chun-Fu Richard Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chun-Fu Richard Chen. A scholar is included among the top collaborators of Chun-Fu Richard Chen 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 Chun-Fu Richard Chen. Chun-Fu Richard Chen 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:

12 of 12 papers shown

Sun, Ximeng, Rameswar Panda, Chun-Fu Richard Chen, et al.. (2024). Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths. 946–956. 2 indexed citations

Lim, G., et al.. (2024). Fast-NTK: Parameter-Efficient Unlearning for Large-Scale Models. 227–234.

Li, Yi, Rameswar Panda, Yoon Kim, et al.. (2022). VALHALLA: Visual Hallucination for Machine Translation. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5206–5216. 17 indexed citations

Panda, Rameswar, Chun-Fu Richard Chen, Leonid Karlinsky, et al.. (2022). Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 9184–9194. 14 indexed citations

Chen, Chun-Fu Richard, Quanfu Fan, & Rameswar Panda. (2021). CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 347–356. 1194 indexed citations breakdown →

Chen, Chun-Fu Richard, Rameswar Panda, Rogério Feris, et al.. (2021). Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition. 6161–6171. 67 indexed citations

Panda, Rameswar, Michele Merler, Mayoore S. Jaiswal, et al.. (2021). NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. Proceedings of the AAAI Conference on Artificial Intelligence. 35(10). 9294–9302. 3 indexed citations

Sun, Ximeng, Rameswar Panda, Chun-Fu Richard Chen, et al.. (2021). Dynamic Network Quantization for Efficient Video Inference. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7355–7365. 31 indexed citations

Panda, Rameswar, Chun-Fu Richard Chen, Quanfu Fan, et al.. (2021). AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 7556–7565. 30 indexed citations

10.

Chen, Chun-Fu Richard, et al.. (2016). Efficient nuclei segmentation based on spectral graph partitioning. 2. 2723–2726. 1 indexed citations

11.

Lai, Jui-Hsin, Chung-Ching Lin, Chun-Fu Richard Chen, & Ching‐Yung Lin. (2015). Multi-modality Mobile Image Recognition Based on Thermal and Visual Cameras. 36. 477–482.

12.

Chen, Chun-Fu Richard, et al.. (2015). Efficient Multi-training Framework of Image Deep Learning on GPU Cluster. 23. 489–494. 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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