Ming Xiong

55 total papers · 1.4k total citations
34 papers, 790 citations indexed

About

Ming Xiong is a scholar working on Computer Networks and Communications, Hardware and Architecture and Computational Theory and Mathematics. According to data from OpenAlex, Ming Xiong has authored 34 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 24 papers in Hardware and Architecture and 12 papers in Computational Theory and Mathematics. Recurrent topics in Ming Xiong's work include Real-Time Systems Scheduling (24 papers), Distributed systems and fault tolerance (23 papers) and Petri Nets in System Modeling (11 papers). Ming Xiong is often cited by papers focused on Real-Time Systems Scheduling (24 papers), Distributed systems and fault tolerance (23 papers) and Petri Nets in System Modeling (11 papers). Ming Xiong collaborates with scholars based in United States, China and India. Ming Xiong's co-authors include Krithi Ramamritham, Floris Geerts, Wenfei Fan, Song Han, Kam-Yiu Lam, Jianzhong Li, John A. Stankovic, Deji Chen, Don Towsley and Rajendran M. Sivasankaran and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Computers and Powder Technology.

In The Last Decade

Ming Xiong

32 papers receiving 744 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ming Xiong	582	379	200	166	146	34	790
Gerald Estrin	321 0.6×	376 1.0×	58 0.3×	131 0.8×	221 1.5×	53	847
Balakrishna R. Iyer	614 1.1×	193 0.5×	26 0.1×	268 1.6×	235 1.6×	45	876
Arthur Bernstein	591 1.0×	211 0.6×	29 0.1×	190 1.1×	179 1.2×	44	828
Bryan C. Ward	446 0.8×	529 1.4×	55 0.3×	55 0.3×	52 0.4×	36	689
Avraham Shinnar	595 1.0×	362 1.0×	24 0.1×	258 1.6×	385 2.6×	33	896
John Feo	479 0.8×	404 1.1×	20 0.1×	104 0.6×	210 1.4×	58	757
Louise E. Moser	359 0.6×	51 0.1×	43 0.2×	238 1.4×	132 0.9×	64	828
Daniel Chavarría-Miranda	470 0.8×	350 0.9×	15 0.1×	140 0.8×	223 1.5×	51	782
Gérard Tel	519 0.9×	109 0.3×	29 0.1×	66 0.4×	174 1.2×	21	665
John R. Gurd	509 0.9×	412 1.1×	37 0.2×	196 1.2×	223 1.5×	46	756

Countries citing papers authored by Ming Xiong

Since Specialization

Citations

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

Fields of papers citing papers by Ming Xiong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Xiong

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

All Works

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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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