Ming Xia

1.8k citations
96 papers · 1.5k · h-index 18

Impact in

Papers in

Ming Xia

95 papers receiving 1.4k citations

Peers

Ming Xia
Comparison fields: 5 of 61
  • Computer Networks and Communications 436
  • Electrical and Electronic Engineering 817
  • Human-Computer Interaction 65
  • Computer Vision and Pattern Recognition 127
  • Health Informatics 9
Replace Kiran Raj Joshi with:
Kiran Raj Joshi United States
Guanhua Wang China
Sanaz Kianoush Italy
Parmesh Ramanathan United States
Piyush Agrawal United States
Jingao Xu China
Sanjib Sur United States
Xiuzhen Guo China
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Ming Xia relative to Kiran Raj Joshi United States Kiran Raj Joshi's profile →
Citations per field
00.5×1.5×2.1×
Kiran Raj Joshi · 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 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013269
2 2015167
3 202291
4 201276
5 201062
6 201759
7 201548
8 201047
9 201034
10 201231
11 201531
12 201325
13 201223
14 201621
15 201018
16 201218
17 201418
18 201618
19 201718
20 201417

About Ming Xia

Ming Xia is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Biomedical Engineering and Safety, Risk, Reliability and Quality, having authored 96 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Optical Network Technologies (36 papers), Medical Image Segmentation Techniques (15 papers), Software-Defined Networks and 5G (11 papers), Advanced Photonic Communication Systems (9 papers), Molecular Communication and Nanonetworks (8 papers), Energy Efficient Wireless Sensor Networks (8 papers), Network Traffic and Congestion Control (6 papers) and Wireless Sensor Networks and IoT (3 papers). The work is most often cited by research in Computer Networks and Communications (436 citations), Electrical and Electronic Engineering (817 citations), Human-Computer Interaction (65 citations), Computer Vision and Pattern Recognition (127 citations) and Health Informatics (9 citations). Ming Xia has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Stefan Dahlfort, Biswanath Mukherjee, S. J. Ben Yoo, Meral Shirazipour, Attila Takács, Ying Zhang, Massimo Tornatore, Charles U. Martel, 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 IEEE Internet of Things Journal.

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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