Yu Ma

1.5k citations
46 papers · 1.2k · h-index 19

Impact in

Papers in

Yu Ma

42 papers receiving 1.1k citations

Peers

Yu Ma
Comparison fields: 5 of 78
  • Computer Networks and Communications 654
  • Transportation 104
  • Hepatology 72
  • Signal Processing 95
  • Information Systems 190
Replace Nikumani Choudhury with:
Nikumani Choudhury India
Gabriele Di Stefano Italy
Joon‐Sang Park South Korea
Edmundo Monteiro Portugal
Manu Bansal India
Junfeng Wang China
Jiangtao Luo China
Hao Ren China
Mahmoud Ragab Saudi Arabia
Chun‐Hung Liu United States
Yu Ma relative to Nikumani Choudhury India Nikumani Choudhury's profile →
Citations per field
00.5×10.4×
Nikumani Choudhury · 1×
Citations per year

Countries citing papers authored by Yu Ma

Since Specialization
Citations

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

Fields of papers citing papers by Yu Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yu Ma, 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 Yu Ma Line = papers co-authored together Yu Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991170
2 2018139
3 202091
4 201569
5 201958
6 201249
7 201947
8 201844
9 201941
10 202137
11 201834
12 201633
13 201833
14 202032
15 202131
16 201731
17 202030
18 201829
19 201527
20 201816

About Yu Ma

Yu Ma is a scholar working on Computer Networks and Communications, Information Systems, Electrical and Electronic Engineering, Transportation and Automotive Engineering, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (18 papers), Caching and Content Delivery (15 papers), IoT and Edge/Fog Computing (11 papers), Cloud Computing and Resource Management (7 papers), Vehicle emissions and performance (3 papers), Transportation Planning and Optimization (3 papers), Data Management and Algorithms (2 papers) and Maritime Ports and Logistics (2 papers). The work is most often cited by research in Computer Networks and Communications (654 citations), Transportation (104 citations), Hepatology (72 citations), Signal Processing (95 citations) and Information Systems (190 citations). Yu Ma has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Weifa Liang, Wenzheng Xu, Zichuan Xu, Song Guo, Meitian Huang, Jesse Summers, Mengjiao Huang, Bin Yang, Christian S. Jensen and Jing Li. Their work appears in journals such as IEEE Transactions on Cloud Computing, IEEE Transactions on Mobile Computing, Sustainability, IEEE Transactions on Network and Service Management and IEEE Transactions on Parallel and Distributed Systems.

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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