Changxin Gao

10.9k total citations · 6 hit papers
154 papers, 4.9k citations indexed

About

Changxin Gao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Changxin Gao has authored 154 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 147 papers in Computer Vision and Pattern Recognition, 43 papers in Artificial Intelligence and 24 papers in Media Technology. Recurrent topics in Changxin Gao's work include Video Surveillance and Tracking Methods (48 papers), Human Pose and Action Recognition (48 papers) and Advanced Image and Video Retrieval Techniques (26 papers). Changxin Gao is often cited by papers focused on Video Surveillance and Tracking Methods (48 papers), Human Pose and Action Recognition (48 papers) and Advanced Image and Video Retrieval Techniques (26 papers). Changxin Gao collaborates with scholars based in China, United States and Singapore. Changxin Gao's co-authors include Nong Sang, Changqian Yu, Gang Yu, Jingbo Wang, Chunhua Shen, Nong Sang, Lerenhan Li, Yuanjie Shao, Chao Peng and Wenqi Ren and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Changxin Gao

140 papers receiving 4.8k citations

Hit Papers

5 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.

BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation

2021 1.0k citations Changqian Yu, Changxin Gao et al. profile →
Learning a Discriminative Feature Network for Semantic Segmentation

2018 605 citations Changqian Yu, Jingbo Wang et al. profile →
Domain Adaptation for Image Dehazing

2020 323 citations Yuanjie Shao, Lerenhan Li et al. profile →
Lite-HRNet: A Lightweight High-Resolution Network

2021 264 citations Changqian Yu, Changxin Gao et al. profile →
Context Prior for Scene Segmentation

2020 209 citations Changqian Yu, Jingbo Wang et al. profile →
SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation

2024 56 citations Changqian Yu, Xiangxiang Chu et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Changxin Gao China	31	4.0k	1.2k	984	466	233	154	4.9k
Nong Sang China	32	4.2k 1.1×	1.4k 1.2×	1.1k 1.1×	513 1.1×	227 1.0×	262	5.6k
Yadong Mu China	26	3.5k 0.9×	1.3k 1.1×	617 0.6×	331 0.7×	208 0.9×	95	4.8k
Gang Yu China	26	4.8k 1.2×	1.4k 1.2×	1.0k 1.0×	419 0.9×	232 1.0×	108	6.2k
Yang Zhao China	25	2.8k 0.7×	966 0.8×	643 0.7×	446 1.0×	374 1.6×	142	4.7k
Kai Han China	21	3.1k 0.8×	1.1k 0.9×	652 0.7×	381 0.8×	165 0.7×	48	5.0k
Humphrey Shi United States	30	3.2k 0.8×	1.0k 0.8×	718 0.7×	500 1.1×	137 0.6×	93	4.2k
Yabiao Wang China	18	2.9k 0.7×	1.5k 1.3×	606 0.6×	306 0.7×	202 0.9×	60	4.0k
Jianyuan Guo China	15	2.9k 0.7×	931 0.8×	646 0.7×	317 0.7×	170 0.7×	22	4.6k
Chunjing Xu China	23	4.4k 1.1×	1.4k 1.1×	1.2k 1.2×	302 0.6×	153 0.7×	63	6.3k
Ding Liang China	15	3.7k 0.9×	1.4k 1.2×	969 1.0×	330 0.7×	178 0.8×	39	5.5k

Countries citing papers authored by Changxin Gao

Since Specialization

Citations

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

Fields of papers citing papers by Changxin Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changxin Gao

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

Gao, Changxin, et al.. (2025). REPAIR: Rank Correlation and Noisy Pair Half-Replacing With Memory for Noisy Correspondence. IEEE Transactions on Multimedia. 28. 465–478. 1 indexed citations

Wang, Haohan, Yaoyu Li, Jingjing Lv, et al.. (2025). CTR-Driven Advertising Image Generation with Multimodal Large Language Models. 2262–2275. 2 indexed citations

Han, Chuchu, et al.. (2025). Spatial cascaded clustering and weighted memory for unsupervised person re-identification. Image and Vision Computing. 156. 105478–105478.

Yu, Changqian, et al.. (2024). SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 6378–6386. 56 indexed citations breakdown →

Ma, Li, et al.. (2024). Exploring sample relationship for few-shot classification. Pattern Recognition. 159. 111089–111089. 4 indexed citations

Liu, Minghao, et al.. (2024). CR2-Net: Component Relationship Reasoning Network for Traffic Text Detection. IEEE Transactions on Intelligent Vehicles. 10(1). 190–204. 1 indexed citations

Zhang, Huaxin, Xiang Wang, Xiaohao Xu, et al.. (2024). HR-Pro: Point-Supervised Temporal Action Localization via Hierarchical Reliability Propagation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(7). 7115–7123. 5 indexed citations

Han, Chuchu, et al.. (2024). Linear Feature Source Prediction and Recombination Network for Noisy Label Learning. IEEE Transactions on Circuits and Systems for Video Technology. 35(2). 1648–1659.

Shao, Yuanjie, et al.. (2024). Query-centric distance modulator for few-shot classification. Pattern Recognition. 151. 110380–110380. 6 indexed citations

10.

Qing, Zhiwu, Shiwei Zhang, Ziyuan Huang, et al.. (2023). Self-Supervised Learning from Untrimmed Videos via Hierarchical Consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(10). 12408–12426. 2 indexed citations

11.

Qing, Zhiwu, Shiwei Zhang, Ziyuan Huang, et al.. (2023). MAR: Masked Autoencoders for Efficient Action Recognition. IEEE Transactions on Multimedia. 26. 218–233. 23 indexed citations

12.

Qing, Zhiwu, Ziyuan Huang, Shiwei Zhang, et al.. (2023). ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning. IEEE Transactions on Multimedia. 25. 9002–9014. 2 indexed citations

13.

Yu, Changqian, et al.. (2023). Conditional Boundary Loss for Semantic Segmentation. IEEE Transactions on Image Processing. 32. 3717–3731. 29 indexed citations

14.

Han, Chuchu, Zhedong Zheng, Zehuan Yuan, et al.. (2022). DMRNet++: Learning Discriminative Features With Decoupled Networks and Enriched Pairs for One-Step Person Search. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(6). 7319–7337. 18 indexed citations

15.

Yu, Changqian, et al.. (2021). Pose-Guided Hierarchical Semantic Decomposition and Composition for Human Parsing. IEEE Transactions on Cybernetics. 53(3). 1641–1652. 7 indexed citations

16.

Han, Chuchu, Jiacheng Ye, Xin Tan, et al.. (2019). Re-ID Driven Localization Refinement for Person Search. 9813–9822. 96 indexed citations

17.

Han, Chuchu, et al.. (2019). Complementation-Reinforced Attention Network for Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology. 30(10). 3433–3445. 31 indexed citations

18.

Li, Lerenhan, et al.. (2019). Camera Style and Identity Disentangling Network for Person Re-identification.. British Machine Vision Conference. 66. 2 indexed citations

19.

Li, Lerenhan, Wenqi Ren, Jinshan Pan, et al.. (2019). Semi-Supervised Image Dehazing. IEEE Transactions on Image Processing. 29. 2766–2779. 166 indexed citations

20.

Yu, Changqian, Jingbo Wang, Chao Peng, et al.. (2018). Learning a Discriminative Feature Network for Semantic Segmentation. 1857–1866. 605 indexed citations breakdown →

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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