Hongbin Ma

2.6k total citations · 1 hit paper
166 papers, 1.7k citations indexed

About

Hongbin Ma is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Hongbin Ma has authored 166 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Control and Systems Engineering, 45 papers in Computer Networks and Communications and 43 papers in Artificial Intelligence. Recurrent topics in Hongbin Ma's work include Adaptive Control of Nonlinear Systems (28 papers), Distributed Control Multi-Agent Systems (28 papers) and Neural Networks Stability and Synchronization (17 papers). Hongbin Ma is often cited by papers focused on Adaptive Control of Nonlinear Systems (28 papers), Distributed Control Multi-Agent Systems (28 papers) and Neural Networks Stability and Synchronization (17 papers). Hongbin Ma collaborates with scholars based in China, United Kingdom and Singapore. Hongbin Ma's co-authors include Chenguang Yang, Mengyin Fu, Xinyu Wang, Long Cheng, Yuanqing Xia, Bo Feng, Zhaojie Ju, Qing Fei, Yi Yang and Xinyu Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Industrial Electronics.

In The Last Decade

Hongbin Ma

152 papers receiving 1.7k citations

Hit Papers

Neural-Learning-Based Telerobot Control With Guaranteed P... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongbin Ma China 19 810 367 355 295 293 166 1.7k
Myo Taeg Lim South Korea 22 709 0.9× 494 1.3× 427 1.2× 288 1.0× 254 0.9× 121 1.9k
Xiongxiong He China 26 1.3k 1.6× 286 0.8× 332 0.9× 267 0.9× 238 0.8× 174 2.3k
Qidan Zhu China 24 1.2k 1.5× 227 0.6× 355 1.0× 501 1.7× 382 1.3× 201 2.0k
Joaquín Carrasco United Kingdom 19 892 1.1× 186 0.5× 289 0.8× 298 1.0× 226 0.8× 84 1.6k
Gabriel A. D. Lopes Netherlands 15 592 0.7× 384 1.0× 310 0.9× 171 0.6× 155 0.5× 46 1.5k
Mignon Park South Korea 24 649 0.8× 437 1.2× 295 0.8× 487 1.7× 127 0.4× 130 1.7k
Hongfeng Tao China 22 1.2k 1.5× 523 1.4× 173 0.5× 413 1.4× 151 0.5× 82 2.4k
Ibraheem Kasim Ibraheem Iraq 21 642 0.8× 228 0.6× 142 0.4× 424 1.4× 203 0.7× 87 1.3k
Tzuu‐Hseng S. Li Taiwan 25 1.4k 1.8× 628 1.7× 269 0.8× 585 2.0× 157 0.5× 154 2.4k
Jun Wu China 23 770 1.0× 302 0.8× 277 0.8× 142 0.5× 88 0.3× 151 1.5k

Countries citing papers authored by Hongbin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Hongbin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongbin Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Hongbin Ma. A scholar is included among the top collaborators of Hongbin 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 Hongbin Ma. Hongbin Ma 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.
Ma, Hongbin, et al.. (2024). An indicator-based evolutionary algorithm with adaptive archive update cycle for multi-objective multi-robot task allocation. Neurocomputing. 593. 127836–127836. 6 indexed citations
2.
Ma, Hongbin, et al.. (2024). LDA-AQU: Adaptive Query-guided Upsampling via Local Deformable Attention. 4919–4927. 1 indexed citations
3.
Ma, Hongbin, et al.. (2024). When LoRa meets distributed machine learning to optimize the network connectivity for green and intelligent transportation system. SHILAP Revista de lepidopterología. 3(3). 100204–100204. 5 indexed citations
4.
Ma, Hongbin, et al.. (2024). GOR-PCR: Graph-Based Outlier Removal via Global-to-Local Consistency for Point Cloud Registration. IEEE Transactions on Instrumentation and Measurement. 74. 1–15. 20 indexed citations
5.
Ma, Hongbin, et al.. (2023). Pareto efficiency of finite-horizon mean-field cooperative stochastic differential games with poisson jumps. Journal of the Franklin Institute. 360(18). 14746–14760. 1 indexed citations
6.
Ma, Hongbin, et al.. (2023). An efficient two-stage evolutionary algorithm for multi-robot task allocation in nuclear accident rescue scenario. Applied Soft Computing. 152. 111223–111223. 3 indexed citations
7.
Ma, Hongbin, et al.. (2023). SphereNet: Learning a Noise-Robust and General Descriptor for Point Cloud Registration. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–16. 4 indexed citations
8.
Dai, Yaping, et al.. (2023). Deep Feature Fusion Classification Model for Identifying Machine Parts. Journal of Advanced Computational Intelligence and Intelligent Informatics. 27(5). 876–885. 1 indexed citations
9.
Wang, Jiannan, et al.. (2018). Detection of Lane Lines on Both Sides of Road Based on Monocular Camera. 1134–1139. 7 indexed citations
10.
Wang, Ning, et al.. (2018). Exploration of Muscle Fatigue Effects in Bioinspired Robot Learning from sEMG Signals. Complexity. 2018(1). 49 indexed citations
11.
Yang, Chenguang, et al.. (2016). Development of a dynamics model for the Baxter robot. PEARL (University of Plymouth). 1244–1249. 11 indexed citations
12.
Wang, Xinyu, Chenguang Yang, Zhaojie Ju, Hongbin Ma, & Mengyin Fu. (2016). Robot manipulator self-identification for surrounding obstacle detection. Multimedia Tools and Applications. 76(5). 6495–6520. 38 indexed citations
13.
Wang, Yingli, et al.. (2016). Audio Packet Encryption of Flow Control Base on stop-and-wait Protocol.. J. Inf. Hiding Multim. Signal Process.. 7. 127–134. 1 indexed citations
14.
Yang, Chenguang, et al.. (2013). Controlling mobile Spykee robot using Emotiv Neuro headset. Chinese Control Conference. 5927–5932. 17 indexed citations
15.
Yang, Chenguang, et al.. (2013). Investigation of best robot kicking. Chinese Control Conference. 4391–4396. 1 indexed citations
16.
Wang, Kai, et al.. (2013). A new approach of multi-robot cooperative pursuit. Chinese Control Conference. 7252–7256. 10 indexed citations
17.
Yang, Chenguang, et al.. (2013). Haptic interaction between human and virtual iCub robot using Novint Falcon with CHAI3D and MATLAB. Chinese Control Conference. 6045–6050. 9 indexed citations
18.
He, Pingsheng, Hongbin Ma, Chenguang Yang, & Mengyin Fu. (2012). Data-driven Kalman filter for linear continuous-time parametric uncertain systems with non-uniformly sampled data. Chinese Control Conference. 219–224. 2 indexed citations
19.
Yang, Chenguang & Hongbin Ma. (2011). Adaptive predictive control of time-varying NARMA systems with exact output tracking. Cronfa (Swansea University). 2515–2520. 1 indexed citations
20.
Ma, Hongbin, et al.. (2011). A new framework of optimal multi-robot formation problem. Chinese Control Conference. 4139–4144. 6 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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