Hang Ma

3.1k total citations
57 papers, 1.6k citations indexed

About

Hang Ma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Hang Ma has authored 57 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 26 papers in Artificial Intelligence and 22 papers in Computer Networks and Communications. Recurrent topics in Hang Ma's work include Robotic Path Planning Algorithms (44 papers), Multi-Agent Systems and Negotiation (12 papers) and Optimization and Search Problems (11 papers). Hang Ma is often cited by papers focused on Robotic Path Planning Algorithms (44 papers), Multi-Agent Systems and Negotiation (12 papers) and Optimization and Search Problems (11 papers). Hang Ma collaborates with scholars based in United States, Canada and Australia. Hang Ma's co-authors include Sven Koenig, T. K. Satish Kumar, Jiaoyang Li, Peter J. Stuckey, Daniel Harabor, Ariel Felner, Liron Cohen, Nora Ayanian, Eli Boyarski and Jiaoyang Li and has published in prestigious journals such as Artificial Intelligence, IEEE Transactions on Robotics and Reliability Engineering & System Safety.

In The Last Decade

Hang Ma

53 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hang Ma United States	23	1.3k	571	534	353	227	57	1.6k
Jiaoyang Li United States	18	1.1k 0.8×	440 0.8×	354 0.7×	298 0.8×	218 1.0×	83	1.3k
Guni Sharon United States	18	1.3k 1.0×	633 1.1×	504 0.9×	290 0.8×	270 1.2×	44	1.7k
Daniel Harabor Australia	20	1.1k 0.9×	439 0.8×	334 0.6×	233 0.7×	334 1.5×	86	1.5k
Glenn Wagner United States	11	805 0.6×	367 0.6×	315 0.6×	170 0.5×	179 0.8×	25	1.0k
Xiaoshan Bai China	18	388 0.3×	159 0.3×	323 0.6×	215 0.6×	206 0.9×	54	1.1k
Takuya Azumi Japan	16	299 0.2×	174 0.3×	432 0.8×	53 0.2×	135 0.6×	94	1.2k
Roman Barták Czechia	16	231 0.2×	396 0.7×	384 0.7×	229 0.6×	65 0.3×	143	899
Zuohua Ding China	16	171 0.1×	320 0.6×	267 0.5×	105 0.3×	62 0.3×	129	1.0k
Xuting Duan China	25	284 0.2×	253 0.4×	720 1.3×	86 0.2×	269 1.2×	99	1.7k

Countries citing papers authored by Hang Ma

Since Specialization

Citations

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

Fields of papers citing papers by Hang Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Ma

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

Mao, Z. Morley, et al.. (2025). Space-Time Graphs of Convex Sets for Multi-Robot Motion Planning. 8683–8690.

Ding, Xiaoyun, et al.. (2025). Global, regional, and national analyses of the burden among adult women of breast cancer attributable to diet high in red meat from 1990 to 2021: longitudinal observational study. Frontiers in Public Health. 13. 1580177–1580177. 1 indexed citations

Ma, Hang, et al.. (2025). Analysis and optimal assignment of multi-mission systems across multiple phases in a shared component with cold standby. Reliability Engineering & System Safety. 267. 111813–111813. 1 indexed citations

Cui, Lirong, Hang Ma, & He Yi. (2025). Mission optimal assignment of multi-mission systems under multiple phases with a shared component following an exponential lifetime distribution. Reliability Engineering & System Safety. 257. 110824–110824. 3 indexed citations

Ma, Hang, et al.. (2024). Research on 3C compliant assembly strategy method of manipulator based on deep reinforcement learning. Computers & Electrical Engineering. 119. 109605–109605.

Ma, Hang, et al.. (2024). Large-Scale Multi-Robot Coverage Path Planning via Local Search. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 17567–17574. 6 indexed citations

Ma, Hang, et al.. (2023). Priority-Based Search for the Virtual Network Embedding Problem. Proceedings of the International Conference on Automated Planning and Scheduling. 33(1). 472–480. 1 indexed citations

Li, Jiaoyang, Daniel Harabor, Peter J. Stuckey, et al.. (2021). Pairwise symmetry reasoning for multi-agent path finding search. Artificial Intelligence. 301. 103574–103574. 62 indexed citations

Li, Jiaoyang, et al.. (2020). Moving Agents in Formation in Congested Environments. Proceedings of the International Symposium on Combinatorial Search. 11(1). 131–132. 4 indexed citations

10.

Ma, Hang, Daniel Harabor, Peter J. Stuckey, Jiaoyang Li, & Sven Koenig. (2019). Searching with consistent prioritization for multi-agent path finding. Monash University Research Portal (Monash University). 188–189. 4 indexed citations

11.

Li, Jiaoyang, et al.. (2019). A New Constraint Satisfaction Perspective on Multi-Agent Path Finding: Preliminary Results. Adaptive Agents and Multi-Agents Systems. 2253–2255. 5 indexed citations

12.

Liu, Minghua, Hang Ma, Jiaoyang Li, & Sven Koenig. (2019). Task and Path Planning for Multi-Agent Pickup and Delivery. Adaptive Agents and Multi-Agents Systems. 1152–1160. 46 indexed citations

13.

Li, Jiaoyang, Daniel Harabor, Peter J. Stuckey, et al.. (2019). Disjoint splitting for conflict-based search for Multi-Agent Path Finding. International Conference on Automated Planning and Scheduling. 279–283. 5 indexed citations

14.

Ma, Hang, Glenn Wagner, Ariel Felner, et al.. (2018). Multi-Agent Path Finding with Deadlines: Preliminary Results. Adaptive Agents and Multi-Agents Systems. 2004–2006. 1 indexed citations

15.

Ma, Hang, et al.. (2017). Feasibility Study: Moving Non-Homogeneous Teams in Congested Video Game Environments. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 13(1). 270–272. 15 indexed citations

16.

Ma, Hang, Jiaoyang Li, T. K. Satish Kumar, & Sven Koenig. (2017). Lifelong Multi-Agent Path Finding for Online Pickup and Delivery Tasks. Adaptive Agents and Multi-Agents Systems. 837–845. 110 indexed citations

17.

Ma, Hang, et al.. (2017). Lifelong Multi-Agent Path Finding for Online Pickup and Delivery Tasks. 837–845.

18.

Ma, Hang, T. K. Satish Kumar, & Sven Koenig. (2017). Multi-Agent Path Finding with Delay Probabilities. Proceedings of the AAAI Conference on Artificial Intelligence. 31(1). 75 indexed citations

19.

Morris, Robert E., Corina S. Păsăreanu, Kasper Søe Luckow, et al.. (2016). Planning, Scheduling and Monitoring for Airport Surface Operations.. National Conference on Artificial Intelligence. 71 indexed citations

20.

Ma, Hang & Sven Koenig. (2016). Optimal Target Assignment and Path Finding for Teams of Agents. arXiv (Cornell University). 1144–1152. 61 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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