Jiyu Cheng

873 total citations
34 papers, 576 citations indexed

About

Jiyu Cheng is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Jiyu Cheng has authored 34 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 18 papers in Aerospace Engineering and 7 papers in Computer Networks and Communications. Recurrent topics in Jiyu Cheng's work include Robotics and Sensor-Based Localization (18 papers), Robotic Path Planning Algorithms (16 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Jiyu Cheng is often cited by papers focused on Robotics and Sensor-Based Localization (18 papers), Robotic Path Planning Algorithms (16 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Jiyu Cheng collaborates with scholars based in China, Hong Kong and Canada. Jiyu Cheng's co-authors include Max Q.‐H. Meng, Yuxiang Sun, Chaoqun Wang, Wei Zhang, Yibin Li, Hong Zhang, Jiankun Wang, Ran Song, Shuo Yang and Hu Cheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and Sensors.

In The Last Decade

Jiyu Cheng

32 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiyu Cheng China 16 387 312 72 70 69 34 576
Jason Rambach Germany 14 380 1.0× 217 0.7× 58 0.8× 59 0.8× 183 2.7× 41 611
Jianmin Ji China 15 404 1.0× 251 0.8× 42 0.6× 210 3.0× 95 1.4× 70 738
Beom-Hee Lee South Korea 14 251 0.6× 285 0.9× 24 0.3× 79 1.1× 71 1.0× 48 489
Leopoldo Armesto Spain 15 316 0.8× 258 0.8× 75 1.0× 107 1.5× 221 3.2× 58 659
Michael Kaßecker Germany 5 386 1.0× 466 1.5× 55 0.8× 82 1.2× 229 3.3× 8 749
Matthias Nieuwenhuisen Germany 13 295 0.8× 303 1.0× 19 0.3× 46 0.7× 119 1.7× 27 445
Young‐Ho Choi South Korea 11 299 0.8× 239 0.8× 25 0.3× 42 0.6× 95 1.4× 75 601
Eduardo Arnold United Kingdom 6 455 1.2× 211 0.7× 52 0.7× 100 1.4× 73 1.1× 9 775

Countries citing papers authored by Jiyu Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Jiyu Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiyu Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Jiyu Cheng. A scholar is included among the top collaborators of Jiyu 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 Jiyu Cheng. Jiyu Cheng 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.
Chen, Shihao, Wanqi Zhang, Mingyi Yang, et al.. (2025). Rapid detection of linalool by QCM gas sensor based on HKUST-1/MWCNT-gel@MIP in early sweetpotato black spot disease. Microchemical Journal. 212. 113232–113232. 3 indexed citations
2.
Yang, Shuo, et al.. (2025). Learning packing-and-unpacking synergistic policy via LLM-guided DRL for robust online robotic packing. Advanced Engineering Informatics. 68. 103572–103572. 1 indexed citations
3.
Song, Yong, Jiyu Cheng, Wei Zhang, et al.. (2025). Empowering Multirobot Flocking in Complex Environments via Effective Communication: A Deep Reinforcement Learning Approach. IEEE Transactions on Industrial Informatics. 21(12). 9562–9573.
4.
Cheng, Jiyu, et al.. (2025). Autonomous and Adaptive Role Selection for Multi-Robot Collaborative Area Search Based on Deep Reinforcement Learning. IEEE Transactions on Automation Science and Engineering. 22. 16728–16740. 1 indexed citations
5.
Song, Yong, Jiyu Cheng, Jiong Jin, et al.. (2025). A Deep Reinforcement Learning Approach Using Asymmetric Self-Play for Robust Multirobot Flocking. IEEE Transactions on Industrial Informatics. 21(4). 3266–3275. 1 indexed citations
6.
Chi, Wenzheng, et al.. (2024). A survey of autonomous robots and multi-robot navigation: Perception, planning and collaboration. SHILAP Revista de lepidopterología. 5(2). 100203–100203. 10 indexed citations
7.
Cheng, Jiyu, et al.. (2024). Multi-Robot Environmental Coverage With a Two-Stage Coordination Strategy via Deep Reinforcement Learning. IEEE Transactions on Intelligent Transportation Systems. 25(6). 5022–5033. 15 indexed citations
8.
Chen, Jiaming, et al.. (2024). Nowhere to Go: Benchmarking Multirobot Collaboration in Target Trapping Environment. IEEE Transactions on Industrial Electronics. 71(11). 14430–14439. 5 indexed citations
9.
Yang, Shuo, et al.. (2023). Heuristics Integrated Deep Reinforcement Learning for Online 3D Bin Packing. IEEE Transactions on Automation Science and Engineering. 21(1). 939–950. 36 indexed citations
10.
Yang, Shuo, Wei Zhang, Ran Song, et al.. (2023). Watch and Act: Learning Robotic Manipulation From Visual Demonstration. IEEE Transactions on Systems Man and Cybernetics Systems. 53(7). 4404–4416. 14 indexed citations
11.
Pang, Linjiang, Lu Zhang, Zhenhe Wang, et al.. (2022). Identification of Sweetpotato Black Spot Disease Caused by Ceratocystis Fimbriata by Quartz Crystal Microbalance Array. SSRN Electronic Journal.
12.
Cheng, Jiyu, et al.. (2022). H2GNN: Hierarchical-Hops Graph Neural Networks for Multi-Robot Exploration in Unknown Environments. IEEE Robotics and Automation Letters. 7(2). 3435–3442. 41 indexed citations
13.
14.
Chen, Wei, et al.. (2021). Autonomous Multi-View Navigation via Deep Reinforcement Learning. 13798–13804. 8 indexed citations
15.
Cheng, Jiyu, Hong Zhang, & Max Q.‐H. Meng. (2020). Improving Visual Localization Accuracy in Dynamic Environments Based on Dynamic Region Removal. IEEE Transactions on Automation Science and Engineering. 1–12. 31 indexed citations
16.
Cheng, Jiyu, Chaoqun Wang, & Max Q.‐H. Meng. (2019). Robust Visual Localization in Dynamic Environments Based on Sparse Motion Removal. IEEE Transactions on Automation Science and Engineering. 17(2). 658–669. 56 indexed citations
17.
Wang, Chaoqun, Jiankun Wang, Chenming Li, et al.. (2019). Safe and Robust Mobile Robot Navigation in Uneven Indoor Environments. Sensors. 19(13). 2993–2993. 26 indexed citations
18.
Wang, Chaoqun, Jiyu Cheng, Wenzheng Chi, Tingfang Yan, & Max Q.‐H. Meng. (2019). Semantic-Aware Informative Path Planning for Efficient Object Search Using Mobile Robot. IEEE Transactions on Systems Man and Cybernetics Systems. 51(8). 5230–5243. 22 indexed citations
19.
Cheng, Jiyu, Hu Cheng, Max Q.‐H. Meng, & Hong Zhang. (2018). Autonomous Navigation by Mobile Robots in Human Environments: A Survey. 1981–1986. 32 indexed citations
20.
Lo, Frank P.-W., et al.. (2017). Continuous systolic and diastolic blood pressure estimation utilizing long short-term memory network. PubMed. 2017. 1853–1856. 24 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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