Jun Cheng

7.6k total citations · 1 hit paper
318 papers, 5.5k citations indexed

About

Jun Cheng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Jun Cheng has authored 318 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 174 papers in Computer Vision and Pattern Recognition, 54 papers in Artificial Intelligence and 49 papers in Biomedical Engineering. Recurrent topics in Jun Cheng's work include Human Pose and Action Recognition (51 papers), Video Surveillance and Tracking Methods (39 papers) and Advanced Image and Video Retrieval Techniques (35 papers). Jun Cheng is often cited by papers focused on Human Pose and Action Recognition (51 papers), Video Surveillance and Tracking Methods (39 papers) and Advanced Image and Video Retrieval Techniques (35 papers). Jun Cheng collaborates with scholars based in China, Hong Kong and Australia. Jun Cheng's co-authors include Dapeng Tao, Xiping Hu, Bin Hu, Dacheng Tao, Zhaolong Ning, Weifeng Liu, Lei Wang, Qieshi Zhang, Edith C.‐H. Ngai and MengChu Zhou and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

In The Last Decade

Jun Cheng

293 papers receiving 5.3k 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.

Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks

2017 460 citations Xiping Hu, Zhaolong Ning et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jun Cheng	2.9k	1.4k	1.1k	842	728	318	5.5k
Gian Luca Foresti	3.1k 1.1×	1.5k 1.0×	598 0.5×	447 0.5×	617 0.8×	293	5.1k
Dimitrios Hatzinakos	3.4k 1.2×	520 0.4×	1.0k 0.9×	1.0k 1.2×	1.6k 2.2×	284	7.6k
Ling Guan	2.1k 0.7×	987 0.7×	424 0.4×	1.0k 1.2×	349 0.5×	334	4.9k
Xi Li	4.0k 1.4×	1.5k 1.0×	385 0.3×	336 0.4×	627 0.9×	333	6.4k
Fathi E. Abd El‐Samie	3.8k 1.3×	1.3k 0.9×	803 0.7×	1.5k 1.8×	548 0.8×	628	7.8k
Amit K. Roy–Chowdhury	4.2k 1.5×	2.4k 1.7×	1.3k 1.2×	327 0.4×	1.1k 1.5×	210	5.9k
Song Han	4.1k 1.4×	2.8k 2.0×	651 0.6×	2.0k 2.4×	457 0.6×	104	7.1k
Alex C. Kot	8.1k 2.8×	2.8k 1.9×	575 0.5×	680 0.8×	1.6k 2.2×	348	10.5k
Sergios Theodoridis	1.6k 0.6×	1.6k 1.1×	771 0.7×	1.2k 1.4×	320 0.4×	220	6.0k
Weibo Liu	1.6k 0.5×	2.0k 1.4×	570 0.5×	896 1.1×	311 0.4×	95	5.9k

Countries citing papers authored by Jun Cheng

Since Specialization

Citations

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

Fields of papers citing papers by Jun Cheng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Cheng

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

Wu, Yao, Huaying Liang, Fengyu Lin, et al.. (2025). Residential greenness, air pollution, genetic predisposition and the risk of lung cancer. Ecotoxicology and Environmental Safety. 294. 118027–118027. 2 indexed citations

Cheng, Jun, et al.. (2025). Spin Catalysis: Concept, Characterizations, and Advances in 2D Catalytic Materials. 1(2). 77–90.

Yu, Yang, Jiahao Wang, Weide Liu, et al.. (2025). Multimodal multitask similarity learning for vision language model on radiological images and reports. Neurocomputing. 636. 130018–130018. 1 indexed citations

Jiao, Jichao, et al.. (2024). Distill-then-prune: An Efficient Compression Framework for Real-time Stereo Matching Network on Edge Devices. 15113–15120. 2 indexed citations

Hao, Fusheng, Liu Liu, Fuxiang Wu, Qieshi Zhang, & Jun Cheng. (2024). Class-Irrelevant Feature Removal for Few-Shot Image Classification. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9577–9591.

Zhang, Feng‐Min, Qiantong Dong, Zhen Yu, et al.. (2024). Characteristics and prognostic impact of cancer cachexia defined by the Asian Working Group for Cachexia consensus in patients with curable gastric cancer. Clinical Nutrition. 43(6). 1524–1531. 7 indexed citations

Zhang, Qieshi, et al.. (2023). VRR-Net: Learning Vehicle–Road Relationships for Vehicle Trajectory Prediction on Highways. Mathematics. 11(6). 1293–1293. 4 indexed citations

Cheng, Jun, Fuxiang Wu, Liu Liu, et al.. (2023). InDecGAN: Learning to Generate Complex Images From Captions via Independent Object-Level Decomposition and Enhancement. IEEE Transactions on Multimedia. 25. 8279–8293.

Qin, Cheng, Jun Cheng, Zhen Liu, Ziliang Ren, & Jianming Liu. (2023). A Dense-Sparse Complementary Network for Human Action Recognition based on RGB and Skeleton Modalities. Expert Systems with Applications. 244. 123061–123061. 12 indexed citations

10.

Zhang, Qieshi, et al.. (2023). Distilled representation using patch-based local-to-global similarity strategy for visual place recognition. Knowledge-Based Systems. 280. 111015–111015. 6 indexed citations

11.

Liu, Zhen, et al.. (2023). Cross-scale cascade transformer for multimodal human action recognition. Pattern Recognition Letters. 168. 17–23. 15 indexed citations

12.

Wang, Lei, et al.. (2022). A Progressive Quadric Graph Convolutional Network for 3D Human Mesh Recovery. IEEE Transactions on Circuits and Systems for Video Technology. 33(1). 104–117. 27 indexed citations

13.

Wang, Lei, et al.. (2022). Semantic segmentation of large-scale point clouds based on dilated nearest neighbors graph. Complex & Intelligent Systems. 8(5). 3833–3845. 9 indexed citations

14.

Wang, Lei, et al.. (2022). Road surface state recognition using deep convolution network on the low-power-consumption embedded device. Microprocessors and Microsystems. 96. 104740–104740. 6 indexed citations

15.

Song, Peipei, Dan Guo, Jun Cheng, & Meng Wang. (2022). Contextual Attention Network for Emotional Video Captioning. IEEE Transactions on Multimedia. 25. 1858–1867. 23 indexed citations

16.

Cheng, Jun, et al.. (2021). Research on task-offloading decision mechanism in mobile edge computing-based Internet of Vehicle. EURASIP Journal on Wireless Communications and Networking. 2021(1). 18 indexed citations

17.

Wang, Ruxin, et al.. (2021). Adversarial UV-Transformation Texture Estimation for 3D Face Aging. IEEE Transactions on Circuits and Systems for Video Technology. 32(7). 4338–4350. 8 indexed citations

18.

Nie, Laisen, Zhaolong Ning, Xiaojie Wang, et al.. (2020). Data-Driven Intrusion Detection for Intelligent Internet of Vehicles: A Deep Convolutional Neural Network-Based Method. IEEE Transactions on Network Science and Engineering. 7(4). 2219–2230. 117 indexed citations

19.

Wang, Tao, Cancheng Li, Xiping Hu, et al.. (2019). Depression Prevalence in Postgraduate Students and Its Association With Gait Abnormality. IEEE Access. 7. 174425–174437. 45 indexed citations

20.

Wang, Lei, et al.. (2018). Human Action Recognition by Learning Spatio-Temporal Features With Deep Neural Networks. IEEE Access. 6. 17913–17922. 89 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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