Ming Xia

2.0k citations
129 papers · 1.5k · h-index 19

Impact in

Papers in

Ming Xia

121 papers receiving 1.5k citations

Peers

Ming Xia
Comparison fields: 5 of 117
  • Computer Networks and Communications 603
  • Electrical and Electronic Engineering 1.1k
  • Human-Computer Interaction 56
  • Computer Vision and Pattern Recognition 119
  • Information Systems 107
Replace Jianxin Chen with:
Jianxin Chen China
Yue Zheng China
Kamran Arshad United Kingdom
Wansu Lim South Korea
Hyung Seok Kim South Korea
Shahzad A. Malik Pakistan
Jae-Woo Kim South Korea
Michael Chan United States
Mohammed Feham Algeria
Tianyue Zheng China
Ming Xia relative to Jianxin Chen China Jianxin Chen's profile →
Citations per field
00.5×5.3×
Jianxin Chen · 1×
Citations per year

Countries citing papers authored by Ming Xia

Since Specialization
Citations

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

Fields of papers citing papers by Ming Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming Xia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming Xia Line = papers co-authored together Ming Xia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013260
2 2015157
3 202270
4 201263
5 201059
6 201754
7 201046
8 202243
9 201541
10 201034
11 201231
12 201529
13 201926
14 201324
15 201222
16 201620
17 200820
18 201018
19 201718
20 201618

About Ming Xia

Ming Xia is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence, having authored 129 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Optical Network Technologies (39 papers), Software-Defined Networks and 5G (24 papers), Optical Network Technologies (24 papers), Advanced Photonic Communication Systems (24 papers), Energy Efficient Wireless Sensor Networks (12 papers), Network Traffic and Congestion Control (11 papers), Medical Image Segmentation Techniques (10 papers) and Wireless Body Area Networks (9 papers). The work is most often cited by research in Computer Networks and Communications (603 citations), Electrical and Electronic Engineering (1.1k citations), Human-Computer Interaction (56 citations), Computer Vision and Pattern Recognition (119 citations) and Information Systems (107 citations). Ming Xia has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Stefan Dahlfort, Biswanath Mukherjee, S. J. Ben Yoo, Meral Shirazipour, Attila Takács, Massimo Tornatore, Charles U. Martel, Ying Zhang, Zuqing Zhu and Yawei Yin. Their work appears in journals such as Journal of Optical Communications and Networking, Nano Communication Networks, Journal of Lightwave Technology, IEEE Communications Magazine and ACM Transactions on Sensor Networks.

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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