Jing Huo

3.8k total citations · 2 hit papers
83 papers, 2.3k citations indexed

About

Jing Huo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jing Huo has authored 83 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jing Huo's work include Face recognition and analysis (11 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Video Surveillance and Tracking Methods (10 papers). Jing Huo is often cited by papers focused on Face recognition and analysis (11 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Video Surveillance and Tracking Methods (10 papers). Jing Huo collaborates with scholars based in China, United States and Australia. Jing Huo's co-authors include Yang Gao, Lei Wang, Wenbin Li, Jiebo Luo, Jinglin Xu, Yan‐Ying Fan, Yinghuan Shi, Lei Qi, Matthew S. Brown and Whitney B. Pope and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and PLoS ONE.

In The Last Decade

Jing Huo

74 papers receiving 2.2k citations

Hit Papers

align trajectories

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.

Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning

2019 406 citations Wenbin Li, Lei Wang et al. profile →
A1/A2 astrocytes in central nervous system injuries and diseases: Angels or devils?

2021 190 citations Yan‐Ying Fan, Jing Huo Neurochemistry International profile →

Peers

Jing Huo

CVPR

AI

RNMI

GENET

MB

Lei Qin United States

Kourosh Jafari‐Khouzani United States

Sidong Liu Australia

Lin Yang United States

Khan M. Iftekharuddin United States

Arkadiusz Gertych United States

Ahmad Chaddad Canada

Christian Desrosiers Canada

Jing Qin China

Lei Qin United States

Jing Huo

1.1k ×1.2

CVPR

297 ×0.4

AI

651 ×1.6

RNMI

361 ×1.3

GENET

134 ×0.8

MB

Citations per year, relative to Jing Huo Jing Huo (= 1×) peers Lei Qin

Countries citing papers authored by Jing Huo

Since Specialization

Citations

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

Fields of papers citing papers by Jing Huo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Huo

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Huo. A scholar is included among the top collaborators of Jing Huo 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 Jing Huo. Jing Huo 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

1.

Li, Wenbin, Tianyu Ding, Lei Wang, et al.. (2025). ONNXPruner: ONNX-Based General Model Pruning Adapter. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(7). 5806–5817. 1 indexed citations

2.

Li, Peiliang, et al.. (2025). SEPT: Standard-Definition Map Enhanced Scene Perception and Topology Reasoning for Autonomous Driving. IEEE Robotics and Automation Letters. 10(7). 7126–7133.

3.

Li, Wenbin, et al.. (2025). Leveraging Frequency Analysis for Image Denoising Network Pruning. IEEE Transactions on Image Processing. 34. 1660–1671.

4.

Li, Shumeng, Lei Qi, Qian Yu, et al.. (2025). Stitching, Fine-Tuning, and Re-Training: A SAM-Enabled Framework for Semi-Supervised 3D Medical Image Segmentation. IEEE Transactions on Medical Imaging. 44(10). 3909–3923. 5 indexed citations

5.

Ding, Tianyu, Jing Huo, Yuxin Li, et al.. (2025). 3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities. IEEE Transactions on Circuits and Systems for Video Technology. 35(7). 6832–6852. 14 indexed citations

6.

Li, Ziming, Xinyue Tang, Xinghai Liu, et al.. (2025). Deciphering gonadal transcriptome reveals circRNA-miRNA-mRNA regulatory network involved in sex differentiation and gametogenesis of Apostichopus japonicus. Molecular Genetics and Genomics. 300(1). 70–70.

7.

Gu, Zheng, Shiyuan Yang, Jing Liao, Jing Huo, & Yang Gao. (2024). Analogist: Out-of-the-box Visual In-Context Learning with Image Diffusion Model. ACM Transactions on Graphics. 43(4). 1–15. 3 indexed citations

8.

Huo, Jing, Qi Liu, Sandeep Kumar, et al.. (2024). Hierarchical behavior control by a single class of interneurons. Proceedings of the National Academy of Sciences. 121(47). e2410789121–e2410789121. 3 indexed citations

9.

Huo, Jing, et al.. (2024). Towards efficient image and video style transfer via distillation and learnable feature transformation. Computer Vision and Image Understanding. 241. 103947–103947. 3 indexed citations

10.

Bao, Yanqi, et al.. (2023). Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs. 2180–2188. 3 indexed citations

11.

Li, Wenbin, Jing Huo, Yinghuan Shi, et al.. (2023). LibFewShot: A Comprehensive Library for Few-Shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 14938–14955. 48 indexed citations

12.

Li, Wenbin, Lei Wang, Xingxing Zhang, et al.. (2022). Defensive Few-shot Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(5). 1–18. 7 indexed citations

13.

Huo, Jing, et al.. (2022). CAST: Learning Both Geometric and Texture Style Transfers for Effective Caricature Generation. IEEE Transactions on Image Processing. 31. 3347–3358. 8 indexed citations

14.

Qi, Lei, Lei Wang, Jing Huo, et al.. (2021). Adversarial Camera Alignment Network for Unsupervised Cross-Camera Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology. 32(5). 2921–2936. 21 indexed citations

15.

Huang, Hongwei, et al.. (2021). Local descriptor-based multi-prototype network for few-shot Learning. Pattern Recognition. 116. 107935–107935. 68 indexed citations

16.

Gu, Zheng, et al.. (2021). CariMe: Unpaired Caricature Generation With Multiple Exaggerations. IEEE Transactions on Multimedia. 24. 2673–2686. 9 indexed citations

17.

Fan, Yan‐Ying & Jing Huo. (2021). A1/A2 astrocytes in central nervous system injuries and diseases: Angels or devils?. Neurochemistry International. 148. 105080–105080. 190 indexed citations breakdown →

18.

Huo, Jing, et al.. (2020). Serum level of antioxidant vitamins and minerals in patients with vitiligo, a systematic review and meta-analysis. Journal of Trace Elements in Medicine and Biology. 62. 126570–126570. 16 indexed citations

19.

Huo, Jing, Michelle D. Po, Taizo Kawano, et al.. (2018). Descending pathway facilitates undulatory wave propagation in Caenorhabditis elegans through gap junctions. Proceedings of the National Academy of Sciences. 115(19). E4493–E4502. 41 indexed citations

20.

Huo, Jing, Wenbin Li, Yinghuan Shi, Yang Gao, & Hujun Yin. (2017). WebCaricature: a benchmark for caricature face recognition. arXiv (Cornell University). 223. 15 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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