Ming Cong

1.8k total citations
151 papers, 1.3k citations indexed

About

Ming Cong is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ming Cong has authored 151 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Control and Systems Engineering, 47 papers in Biomedical Engineering and 38 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ming Cong's work include Soft Robotics and Applications (28 papers), Robot Manipulation and Learning (23 papers) and Robotic Path Planning Algorithms (23 papers). Ming Cong is often cited by papers focused on Soft Robotics and Applications (28 papers), Robot Manipulation and Learning (23 papers) and Robotic Path Planning Algorithms (23 papers). Ming Cong collaborates with scholars based in China, Canada and New Zealand. Ming Cong's co-authors include Dong Liu, Yu Du, Haiying Wen, Wei Xu, Hang Dong, S. M. Yang, Xinjun Wu, Lingling Wang, Limei Qiu and Jianmin Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioresource Technology and IEEE Transactions on Industrial Electronics.

In The Last Decade

Ming Cong

130 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Cong China 19 307 307 302 159 128 151 1.3k
Shoukun Wang China 18 461 1.5× 245 0.8× 436 1.4× 208 1.3× 46 0.4× 110 1.0k
Chenggang Li China 24 296 1.0× 707 2.3× 350 1.2× 42 0.3× 149 1.2× 140 1.8k
Seiji Aoyagi Japan 22 179 0.6× 291 0.9× 789 2.6× 120 0.8× 32 0.3× 197 2.1k
Ting Lei China 19 71 0.2× 576 1.9× 117 0.4× 133 0.8× 135 1.1× 76 1.4k
Jan P. Huissoon Canada 18 322 1.0× 475 1.5× 309 1.0× 83 0.5× 76 0.6× 83 1.4k
En Li China 24 249 0.8× 627 2.0× 302 1.0× 733 4.6× 458 3.6× 113 3.4k
Zhonghua Li China 17 276 0.9× 63 0.2× 353 1.2× 116 0.7× 20 0.2× 91 1.0k
Ran Zhao China 19 79 0.3× 166 0.5× 468 1.5× 171 1.1× 28 0.2× 112 1.6k
Qigao Fan China 21 315 1.0× 197 0.6× 382 1.3× 94 0.6× 33 0.3× 94 1.4k

Countries citing papers authored by Ming Cong

Since Specialization
Citations

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

Fields of papers citing papers by Ming Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Cong

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Cong. A scholar is included among the top collaborators of Ming 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 Ming Cong. Ming 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.
Du, Yu, et al.. (2025). MCTNet: Defect Detection in Aluminum Alloy Die-Casting Using a Multilevel CNN-Transformer Interaction Network. IEEE Transactions on Instrumentation and Measurement. 74. 1–11.
2.
Du, Yu, et al.. (2025). Multi-Objective Optimization of High-Pressure Die Casting Process Parameters Based on Data-Driven Surrogate Model. International Journal of Metalcasting. 1 indexed citations
3.
Du, Yu, et al.. (2025). A fruit fly-inspired path planning algorithm for unmanned aerial vehicle in underground environments based on low-discrepancy sequences. Engineering Applications of Artificial Intelligence. 156. 111250–111250.
4.
Du, Yu, et al.. (2025). A human-robot interaction system for automated chemical experiments based on vision and natural language processing semantics. Engineering Applications of Artificial Intelligence. 146. 110226–110226.
5.
Cong, Ming, et al.. (2024). Carbon sequestration and environmental impacts in ternary blended cements using dyeing sludge and papermaking sludge. SHILAP Revista de lepidopterología. 5(1). 1 indexed citations
6.
Liu, Dong, et al.. (2024). Bi-Phase Episodic Memory-Guided Deep Reinforcement Learning for Robot Skills. IEEE Robotics and Automation Letters. 10(9). 8674–8681.
7.
El‐Desouki, Zeinab, Hao Xia, Ming Cong, et al.. (2024). Improved chlorophyll fluorescence, photosynthetic rate, and plant growth of Brassica napus L. after co‐application of biochar and phosphorus fertilizer in acidic soil. Journal of Plant Nutrition and Soil Science. 187(2). 260–273. 6 indexed citations
8.
Du, Yu, et al.. (2024). Robotic High-precision Collision Detection and Force Estimation Under Unknown Load. International Journal of Control Automation and Systems. 22(6). 1935–1946. 1 indexed citations
9.
10.
11.
Zhang, Shaohui, Yuan Liu, Chunxiu Liu, et al.. (2023). Conduction treatment of temporal lobe epilepsy in rats: the dose-effect relationship between current resistance and therapeutic effect. Frontiers in Neurology. 14. 1181953–1181953. 1 indexed citations
12.
Wen, Haiying, Jianxiong Zhu, Hui Zhang, et al.. (2022). Development of a masticatory robot using a novel cable-driven linear actuator with bidirectional motion. Frontiers of Mechanical Engineering. 17(4). 2 indexed citations
13.
Cheng, Hui, Yu-You Li, Yisong Hu, et al.. (2021). Bioenergy recovery from methanogenic co-digestion of food waste and sewage sludge by a high-solid anaerobic membrane bioreactor (AnMBR): mass balance and energy potential. Bioresource Technology. 326. 124754–124754. 64 indexed citations
14.
Cong, Ming, et al.. (2018). REINFORCEMENT LEARNING AND EGA-BASED TRAJECTORY PLANNING FOR DUAL ROBOTS. International Journal of Robotics and Automation. 33(4). 7 indexed citations
15.
Cong, Ming, et al.. (2016). Automatic path and trajectory planning for laser cladding robot based on CAD. 1338–1343. 6 indexed citations
16.
Cong, Ming, et al.. (2016). A Longitudinal Mode Electromagnetic Acoustic Transducer (EMAT) Based on a Permanent Magnet Chain for Pipe Inspection. Sensors. 16(5). 740–740. 33 indexed citations
17.
Cong, Ming, et al.. (2012). Coaxial twin-shaft magnetic fluid seals applied in vacuum wafer-handling robot. Chinese Journal of Mechanical Engineering. 25(4). 706–714. 20 indexed citations
18.
Cong, Ming. (2012). Finite Element Analysis and Optimization of Headstock Based on ANSYS Workbench. Modular Machine Tool & Automatic Manufacturing Technique. 1 indexed citations
19.
Cong, Ming, et al.. (2008). A Study of Magnetic Fluid Rotary Seals for Wafer Handling Robot. 269–273. 7 indexed citations
20.
Cong, Ming, et al.. (2007). Intelligent Robot Mowers:A Review. Robot. 29(4). 407–416. 8 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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