Yang Cong

6.6k total citations · 1 hit paper
147 papers, 3.8k citations indexed

About

Yang Cong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Yang Cong has authored 147 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Computer Vision and Pattern Recognition, 44 papers in Artificial Intelligence and 18 papers in Aerospace Engineering. Recurrent topics in Yang Cong's work include Video Surveillance and Tracking Methods (29 papers), Domain Adaptation and Few-Shot Learning (26 papers) and Advanced Image and Video Retrieval Techniques (23 papers). Yang Cong is often cited by papers focused on Video Surveillance and Tracking Methods (29 papers), Domain Adaptation and Few-Shot Learning (26 papers) and Advanced Image and Video Retrieval Techniques (23 papers). Yang Cong collaborates with scholars based in China, United States and Singapore. Yang Cong's co-authors include Junsong Yuan, Ji Liu, Gan Sun, Jiahua Dong, Jiebo Luo, Yandong Tang, Haibin Yu, Zhengming Ding, Xiaowei Xu and Chenguang Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Yang Cong

139 papers receiving 3.7k citations

Hit Papers

Sparse reconstruction cost for abnormal event detection 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yang Cong China 31 2.0k 1.8k 498 381 333 147 3.8k
Joey Tianyi Zhou Singapore 42 3.7k 1.9× 3.4k 1.8× 439 0.9× 385 1.0× 381 1.1× 172 6.5k
Lingqiao Liu Australia 32 2.9k 1.5× 2.4k 1.3× 583 1.2× 584 1.5× 218 0.7× 105 4.7k
Zhanyu Ma China 38 2.0k 1.0× 2.4k 1.3× 453 0.9× 191 0.5× 471 1.4× 204 5.1k
Xi Peng China 43 4.7k 2.4× 3.1k 1.7× 448 0.9× 345 0.9× 363 1.1× 163 6.7k
Amira S. Ashour Egypt 36 1.1k 0.5× 1.1k 0.6× 409 0.8× 563 1.5× 202 0.6× 165 4.1k
Chao-Yuan Wu United States 14 3.0k 1.5× 2.1k 1.1× 139 0.3× 330 0.9× 247 0.7× 20 5.8k
Hongtao Lu China 42 2.6k 1.3× 1.6k 0.8× 1.6k 3.1× 345 0.9× 219 0.7× 232 5.3k
Jacob Goldberger Israel 32 2.5k 1.2× 2.8k 1.5× 355 0.7× 308 0.8× 496 1.5× 158 5.8k
Jianping Fan China 38 3.6k 1.8× 2.0k 1.1× 264 0.5× 160 0.4× 526 1.6× 275 5.5k
Songyang Lao China 22 1.6k 0.8× 743 0.4× 519 1.0× 171 0.4× 199 0.6× 106 3.7k

Countries citing papers authored by Yang Cong

Since Specialization
Citations

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

Fields of papers citing papers by Yang Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yang Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Yang Cong. A scholar is included among the top collaborators of Yang Cong 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 Yang Cong. Yang Cong 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.
Fan, Huijie, et al.. (2025). Domain Consistency Representation Learning for Lifelong Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology. 36(1). 51–62. 1 indexed citations
2.
Cong, Yang, et al.. (2025). Multifeature Fusion-Based Closed-Box Attack Detection Method for Automatic Modulation Classification. IEEE Internet of Things Journal. 12(13). 22758–22771. 1 indexed citations
3.
Zhou, Wenbin, Yafei Gao, Xinyu Feng, et al.. (2024). Biomimetic nanoplatform integrates FRET-enhanced photodynamic therapy and chemotherapy for cascaded revitalization of the tumor immune microenvironment in OSCC. Chinese Chemical Letters. 36(1). 109763–109763. 4 indexed citations
4.
Li, Junjie, Junji Yuan, YanHong Dong, et al.. (2024). Radiative forcing of methane emission completely offsets net carbon dioxide uptake in a temperate freshwater marsh from the present to future. Agricultural and Forest Meteorology. 346. 109889–109889. 5 indexed citations
5.
Cong, Yang, et al.. (2024). Marrying NeRF with Feature Matching for One-step Pose Estimation. 7302–7309. 1 indexed citations
6.
Cong, Yang, et al.. (2023). Robust automatic modulation classification under noise mismatch. EURASIP Journal on Advances in Signal Processing. 2023(1). 1 indexed citations
7.
Jiang, Chunxiao, Yang Cong, Jiming Chen, et al.. (2023). Rethinking development and major research plans of Industrial Internet in China. Fundamental Research. 4(1). 3–7. 2 indexed citations
8.
Ren, Yu, et al.. (2023). Autonomous Manipulation Learning for Similar Deformable Objects via Only One Demonstration. 17069–17078. 5 indexed citations
9.
Fan, Baojie, Hui Zhang, Yang Cong, et al.. (2022). Dual Aligned Siamese Dense Regression Tracker. IEEE Transactions on Image Processing. 31. 3630–3643. 1 indexed citations
10.
Wang, Shuai, Yang Cong, Hancan Zhu, et al.. (2020). Multi-Scale Context-Guided Deep Network for Automated Lesion Segmentation With Endoscopy Images of Gastrointestinal Tract. IEEE Journal of Biomedical and Health Informatics. 25(2). 514–525. 95 indexed citations
11.
Fan, Baojie, Yang Cong, Jiandong Tian, & Yandong Tang. (2020). Reliable Multi-Kernel Subtask Graph Correlation Tracker. IEEE Transactions on Image Processing. 29. 8120–8133. 1 indexed citations
12.
Fan, Baojie, Yang Cong, Yandong Tang, Jiandong Tian, & Chenliang Xu. (2020). Structured and Consistent Multi-Layer Multi-Kernel Subtask Correction Filter Tracker. IEEE Transactions on Circuits and Systems for Video Technology. 31(6). 2328–2342. 2 indexed citations
13.
Liu, Chao, Bing Sun, Bin Xu, et al.. (2018). A panel containing PD-1, IL-2Rα, IL-10, and CA15-3 as a biomarker to discriminate breast cancer from benign breast disease. Cancer Management and Research. Volume 10. 1749–1761. 24 indexed citations
14.
Liu, Chao, Wei Wang, Xiangying Meng, et al.. (2018). Albumin/globulin ratio is negatively correlated with PD-1 and CD25 mRNA levels in breast cancer patients. OncoTargets and Therapy. Volume 11. 2131–2139. 13 indexed citations
15.
Sun, Gan, Yang Cong, Dongdong Hou, et al.. (2017). Joint Household Characteristic Prediction via Smart Meter Data. IEEE Transactions on Smart Grid. 10(2). 1834–1844. 33 indexed citations
16.
Cong, Yang, et al.. (2016). Temporal Envelope for Audio Classification. Journal of the Audio Engineering Society. 1 indexed citations
17.
Wang, Shuai, Yang Cong, Jun Cao, et al.. (2015). Scalable gastroscopic video summarization via similar-inhibition dictionary selection. Artificial Intelligence in Medicine. 66. 1–13. 24 indexed citations
18.
Cong, Yang, Ji Liu, Junsong Yuan, & Jiebo Luo. (2013). Self-Supervised Online Metric Learning With Low Rank Constraint for Scene Categorization. IEEE Transactions on Image Processing. 22(8). 3179–3191. 45 indexed citations
19.
Zhou, Shengli, et al.. (2012). A sufficient condition for classified networks to possess complex network features. Networks and Heterogeneous Media. 7(1). 59–69. 1 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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