Cong Ma

793 total citations
33 papers, 471 citations indexed

About

Cong Ma is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Ocean Engineering. According to data from OpenAlex, Cong Ma has authored 33 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 6 papers in Control and Systems Engineering and 4 papers in Ocean Engineering. Recurrent topics in Cong Ma's work include Human Pose and Action Recognition (10 papers), Video Surveillance and Tracking Methods (10 papers) and Advanced Neural Network Applications (8 papers). Cong Ma is often cited by papers focused on Human Pose and Action Recognition (10 papers), Video Surveillance and Tracking Methods (10 papers) and Advanced Neural Network Applications (8 papers). Cong Ma collaborates with scholars based in China, United States and Canada. Cong Ma's co-authors include Zhenjiang Miao, Huizhu Jia, Xiaodong Xie, Zhenjiang Miao, Xiao–Ping Zhang, Fan Yang, Min Li, Yuan Li, Hongkai Yu and Song Wang and has published in prestigious journals such as Environmental Science & Technology, Nature Methods and Journal of Hazardous Materials.

In The Last Decade

Cong Ma

32 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cong Ma China	14	344	103	38	31	30	33	471
Chunjiang Ge China	5	258 0.8×	156 1.5×	23 0.6×	13 0.4×	62 2.1×	7	463
Suree Pumrin Thailand	10	270 0.8×	51 0.5×	20 0.5×	23 0.7×	46 1.5×	34	402
Zhiguo Yu China	8	128 0.4×	125 1.2×	36 0.9×	9 0.3×	28 0.9×	9	412
Xin Xiong China	14	193 0.6×	99 1.0×	17 0.4×	24 0.8×	30 1.0×	46	530
Mei Tian China	10	159 0.5×	47 0.5×	24 0.6×	10 0.3×	42 1.4×	30	349
Zhangjing Wang China	7	152 0.4×	70 0.7×	28 0.7×	18 0.6×	16 0.5×	18	535
Matteo Anedda Italy	15	118 0.3×	42 0.4×	39 1.0×	56 1.8×	59 2.0×	46	525
Wenqing Chu China	11	454 1.3×	172 1.7×	13 0.3×	9 0.3×	50 1.7×	21	585
Chenhan Jiang China	10	310 0.9×	129 1.3×	14 0.4×	6 0.2×	18 0.6×	17	457

Countries citing papers authored by Cong Ma

Since Specialization

Citations

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

Fields of papers citing papers by Cong Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Ma

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

Arnold, Brian J., et al.. (2025). Mapping the topography of spatial gene expression with interpretable deep learning. Nature Methods. 22(2). 298–309. 12 indexed citations

Jin, Xin, Haisheng Su, Kai Liu, et al.. (2025). UniMamba: Unified Spatial-Channel Representation Learning with Group-Efficient Mamba for LiDAR-based 3D Object Detection. 1407–1417. 2 indexed citations

Ma, Cong, et al.. (2024). HoloVic:Large-scale Dataset and Benchmark for Multi-Sensor Holographic Intersection and Vehicle-Infrastructure Cooperative. 22129–22138. 6 indexed citations

Ma, Cong, Chuanjie Zhu, Xiangliang Zhang, et al.. (2024). Water diffusion in coal: The competing effects of wettability, fracture size, and gravity. Colloids and Surfaces A Physicochemical and Engineering Aspects. 700. 134754–134754. 4 indexed citations

Xu, Mingyang, Wei Zhong, Kailun Chen, et al.. (2024). Thermodynamic and economic analyses of a modified adiabatic compressed air energy storage system coupling with thermal power generation. Case Studies in Thermal Engineering. 59. 104521–104521. 7 indexed citations

Zhu, Chuanjie, et al.. (2023). Mechanism of adsorption capacity enhancement of coal due to interaction with high-pressure scCO2-water system. Gas Science and Engineering. 117. 205080–205080. 13 indexed citations

Ma, Cong, Pingping Wang, Zhihao Wang, et al.. (2023). Prediction of zebrafish embryonic developmental toxicity by integrating omics with adverse outcome pathway. Journal of Hazardous Materials. 448. 130958–130958. 18 indexed citations

Xia, Pu, Ying Peng, Wendi Fang, et al.. (2021). Cross-Model Comparison of Transcriptomic Dose–Response of Short-Chain Chlorinated Paraffins. Environmental Science & Technology. 55(12). 8149–8158. 21 indexed citations

Ma, Cong, Fan Yang, Yuan Li, et al.. (2021). Deep Trajectory Post-Processing and Position Projection for Single & Multiple Camera Multiple Object Tracking. International Journal of Computer Vision. 129(12). 3255–3278. 11 indexed citations

10.

Ma, Cong, Fan Yang, Yuan Li, et al.. (2021). Deep Human-Interaction and Association by Graph-Based Learning for Multiple Object Tracking in the Wild. International Journal of Computer Vision. 129(6). 1993–2010. 8 indexed citations

11.

Miao, Zhenjiang, et al.. (2020). An Automatic Framework For Generating Labanotation Scores From Continuous Motion Capture Data. 29. 1–6. 2 indexed citations

12.

Yang, Fan, et al.. (2020). Optical Flow-Guided Mask Generation Network for Video Segmentation. 1–5. 1 indexed citations

13.

Yu, Hongkai, Zhenjiang Miao, Jianwu Fang, et al.. (2020). Multi-Spectral Salient Object Detection by Adversarial Domain Adaptation. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 12023–12030. 21 indexed citations

14.

Miao, Zhenjiang, Hongkai Yu, Jianwu Fang, et al.. (2020). Deep Domain Adaptation Based Multi-Spectral Salient Object Detection. IEEE Transactions on Multimedia. 24. 128–140. 19 indexed citations

15.

Ma, Cong, Yuan Li, Fan Yang, et al.. (2019). Deep Association. 253–261. 27 indexed citations

16.

Yang, Fan, Cong Ma, Yuan Li, et al.. (2018). Dense Relation Network: Learning Consistent and Context-Aware Representation for Semantic Image Segmentation. abs 1412 6856. 3698–3702. 25 indexed citations

17.

Ma, Cong, et al.. (2016). Saliency preprocessing for person re-identification images. 5302. 1941–1945. 1 indexed citations

18.

Li, Min, Zhenjiang Miao, & Cong Ma. (2015). Feature extraction with convolutional restricted boltzmann machine for audio classification. 791–795. 6 indexed citations

19.

Wu, Hao, et al.. (2015). Image completion with multi-image based on entropy reduction. Neurocomputing. 159. 157–171. 28 indexed citations

20.

Ma, Cong. (2006). Improved defects detection algorithm for machined part surface. Transducer and Microsystem Technologies.

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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