Haobin Shi

1.4k total citations
91 papers, 1.0k citations indexed

About

Haobin Shi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Haobin Shi has authored 91 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Artificial Intelligence, 29 papers in Computer Vision and Pattern Recognition and 18 papers in Control and Systems Engineering. Recurrent topics in Haobin Shi's work include Reinforcement Learning in Robotics (24 papers), Robotics and Sensor-Based Localization (11 papers) and Advanced Vision and Imaging (10 papers). Haobin Shi is often cited by papers focused on Reinforcement Learning in Robotics (24 papers), Robotics and Sensor-Based Localization (11 papers) and Advanced Vision and Imaging (10 papers). Haobin Shi collaborates with scholars based in China, Taiwan and Japan. Haobin Shi's co-authors include Kao‐Shing Hwang, Jingchen Li, Xuesi Li, Wei Pan, Genjiu Xu, Jialin Chen, Zhiqiang Lin, Yian Zhu, Wenbai Chen and Yi Zhao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Langmuir and Scientific Reports.

In The Last Decade

Haobin Shi

85 papers receiving 992 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haobin Shi China	18	433	371	227	193	138	91	1.0k
Hongwei Mo China	14	335 0.8×	247 0.7×	322 1.4×	210 1.1×	141 1.0×	90	918
Xinwei Cao China	20	262 0.6×	480 1.3×	413 1.8×	90 0.5×	140 1.0×	38	1.2k
Damian M. Lyons United States	14	416 1.0×	373 1.0×	195 0.9×	144 0.7×	145 1.1×	111	964
Stephen Balakirsky United States	18	408 0.9×	386 1.0×	364 1.6×	257 1.3×	148 1.1×	97	1.2k
Bhaskara Marthi United States	19	518 1.2×	969 2.6×	376 1.7×	197 1.0×	111 0.8×	30	1.6k
Nicholas Roy United States	15	506 1.2×	834 2.2×	187 0.8×	357 1.8×	142 1.0×	36	1.4k
Ankit Chaudhary India	16	416 1.0×	205 0.6×	138 0.6×	44 0.2×	74 0.5×	62	1.1k
Claudiu Pozna Romania	15	210 0.5×	364 1.0×	400 1.8×	106 0.5×	110 0.8×	77	1.0k
Juan José Pantrigo Spain	17	577 1.3×	241 0.6×	105 0.5×	92 0.5×	76 0.6×	52	1.0k
Yimin Deng China	20	370 0.9×	170 0.5×	172 0.8×	454 2.4×	185 1.3×	69	987

Countries citing papers authored by Haobin Shi

Since Specialization

Citations

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

Fields of papers citing papers by Haobin Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haobin Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Haobin Shi. A scholar is included among the top collaborators of Haobin Shi 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 Haobin Shi. Haobin Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Shi, Haobin, et al.. (2025). Adaptive path planning for wafer second probing via an attention-based hierarchical reinforcement learning framework with shared memory. Information Sciences. 710. 122089–122089.

Jiang, Haizhuang, et al.. (2025). Amphiphilic polymer with ultra-high salt resistance and emulsification for enhanced oil recovery in heavy oil cold recovery production. Geoenergy Science and Engineering. 252. 213920–213920. 9 indexed citations

Shi, Haobin, et al.. (2025). A segmented motion synthesis method for robotic task-oriented locomotion imitation system. Knowledge-Based Systems. 327. 114152–114152.

Ma, Fei, et al.. (2024). Type-II Apollonian network: More robust and more efficient Apollonian network. Chaos Solitons & Fractals. 188. 115486–115486. 1 indexed citations

Shi, Haobin, et al.. (2024). Domain adaptation with temporal ensembling to local attention region search for object detection. Knowledge-Based Systems. 309. 112846–112846. 1 indexed citations

Chen, Wenbai, et al.. (2024). Lightweight and fast visual detection method for 3C assembly. Displays. 82. 102631–102631. 3 indexed citations

Shi, Haobin, et al.. (2024). Light-injection attack against practical continuous-variable measurement-device-independent quantum key distribution systems. Optics Express. 32(19). 33656–33656. 1 indexed citations

Wang, Zihan, et al.. (2024). TDOA based Tightly Coupled Sensor Fusion for UAV Positioning in GPS-denied Environment. 120–125.

Yang, Beiya, et al.. (2024). Adaptive Square-Root Cubature Kalman Filter Based Low Cost UAV Positioning in Dark and GPS-Denied Environments. IEEE Transactions on Intelligent Vehicles. 10(5). 3587–3599. 1 indexed citations

10.

Wang, Qunbo, et al.. (2024). Deep active learning for multi label text classification. Scientific Reports. 14(1). 28246–28246. 1 indexed citations

11.

Shi, Haobin, et al.. (2023). Behavior Cloning and Replay of Humanoid Robot via a Depth Camera. Mathematics. 11(3). 678–678. 2 indexed citations

12.

Li, Xuesi, Jingchen Li, & Haobin Shi. (2023). A multi-agent reinforcement learning method with curriculum transfer for large-scale dynamic traffic signal control. Applied Intelligence. 53(18). 21433–21447. 8 indexed citations

13.

Li, Jingchen, et al.. (2023). Semi-Supervised Detection Model Based on Adaptive Ensemble Learning for Medical Images. IEEE Transactions on Neural Networks and Learning Systems. 36(1). 237–248. 4 indexed citations

14.

Li, Jingchen, et al.. (2022). Mix-attention approximation for homogeneous large-scale multi-agent reinforcement learning. Neural Computing and Applications. 35(4). 3143–3154. 2 indexed citations

15.

Li, Jingchen, et al.. (2022). A collaboration of multi-agent model using an interactive interface. Information Sciences. 611. 349–363. 3 indexed citations

16.

Zhao, Yi, Ke Xu, Haiyang Wang, et al.. (2021). MEC-Enabled Hierarchical Emotion Recognition and Perturbation-Aware Defense in Smart Cities. IEEE Internet of Things Journal. 8(23). 16933–16945. 21 indexed citations

17.

Shi, Haobin, et al.. (2021). Lateral Transfer Learning for Multiagent Reinforcement Learning. IEEE Transactions on Cybernetics. 53(3). 1699–1711. 41 indexed citations

18.

Liu, Jia, et al.. (2020). Adaptive weighted image fusion algorithm based on NSCT multi-scale decomposition. 1–5. 3 indexed citations

19.

Shi, Haobin, et al.. (2019). Behavior fusion for deep reinforcement learning. ISA Transactions. 98. 434–444. 6 indexed citations

20.

Shi, Haobin, et al.. (2012). The study of situation evaluation in SimuroSot decision support systems. Kybernetes. 41(9). 1226–1234. 1 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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