Ming Xiang

78 total papers · 441 total citations
37 papers, 266 citations indexed

About

Ming Xiang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Ming Xiang has authored 37 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 10 papers in Electrical and Electronic Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Ming Xiang's work include Security in Wireless Sensor Networks (5 papers), Natural Language Processing Techniques (5 papers) and Image Enhancement Techniques (4 papers). Ming Xiang is often cited by papers focused on Security in Wireless Sensor Networks (5 papers), Natural Language Processing Techniques (5 papers) and Image Enhancement Techniques (4 papers). Ming Xiang collaborates with scholars based in China, New Zealand and United States. Ming Xiang's co-authors include William Liu, Peng Ren, Quan Bai, Mingjie Li, Hao Wang, Shixin Sun, Hao Zhang, Cai Luo, Andrea Beltrama and Mingjie Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Ming Xiang

30 papers receiving 257 citations

Author Peers

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

Author						Papers	Cites
Ming Xiang	98	58	47	44	34	37	266
Tong Wu	53 0.5×	102 1.8×	32 0.7×	10 0.2×	19 0.6×	42	269
R. Vijaya Kumar Reddy	81 0.8×	43 0.7×	13 0.3×	2 0.0×	14 0.4×	34	189
Mohamed Eldesouki	31 0.3×	181 3.1×	17 0.4×	13 0.3×	26 0.8×	46	273
Jing Zhang	168 1.7×	77 1.3×	32 0.7×	4 0.1×	7 0.2×	41	297
Chao Li	97 1.0×	31 0.5×	11 0.2×	5 0.1×	19 0.6×	34	177
Yu-Jie Xiong	110 1.1×	74 1.3×	25 0.5×		18 0.5×	36	235
Yi Zheng	209 2.1×	50 0.9×	9 0.2×	4 0.1×	9 0.3×	33	280
John Watkinson	80 0.8×	26 0.4×	23 0.5×	4 0.1×	39 1.1×	20	201
M. Alder	142 1.4×	104 1.8×	17 0.4×	2 0.0×	6 0.2×	41	259
Lingkun Luo	173 1.8×	119 2.1×	55 1.2×		27 0.8×	35	328

Countries citing papers authored by Ming Xiang

Since Specialization

Citations

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

Fields of papers citing papers by Ming Xiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming Xiang

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