Di Ma

4.8k citations
170 papers · 3.2k · 1 hit paper · h-index 34

Impact in

Papers in

Di Ma

164 papers receiving 3.0k citations

Di Ma's Hit Papers

Experimental Twin-Field Quantum Key Distribution over 1000 km Fiber Distance 2023 · 207 citations
2070+1+2Years since publication50100150200

Peers

Di Ma
Comparison fields: 5 of 158
  • Computer Networks and Communications 966
  • Artificial Intelligence 1.1k
  • Signal Processing 326
  • Information Systems 490
  • Electrical and Electronic Engineering 985
Replace Wendong Wang with:
Wendong Wang China
Nan Jiang China
Muhammad Asghar Khan Pakistan
Richard R. Brooks United States
Yongxin Liu China
Peng Chen China
Hang Li China
Songfeng Lu China
Sanguthevar Rajasekaran United States
Li Chen China
Di Ma relative to Wendong Wang China Wendong Wang's profile →
Citations per field
00.5×1.5×1.8×
Wendong Wang · 1×
Citations per year

Countries citing papers authored by Di Ma

Since Specialization
Citations

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

Fields of papers citing papers by Di Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Experimental Twin-Field Quantum Key Distribution over 1000 km Fiber Distance
Hit paper breakdown →
2023207
2 2011142
3 2009123
4 2009107
5 2018105
6 201376
7 201859
8 201059
9 201758
10 201258
11 201457
12 200854
13 200954
14 201953
15 200753
16 201853
17 202150
18 201749
19 202249
20 201746

About Di Ma

Di Ma is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Computer Networks and Communications, Information Systems and Signal Processing, having authored 170 papers that have together received 3.2k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (19 papers), Cryptography and Data Security (18 papers), Privacy-Preserving Technologies in Data (17 papers), Indoor and Outdoor Localization Technologies (16 papers), Vehicular Ad Hoc Networks (VANETs) (13 papers), Advanced Malware Detection Techniques (13 papers), Network Security and Intrusion Detection (11 papers) and Internet Traffic Analysis and Secure E-voting (9 papers). The work is most often cited by research in Computer Networks and Communications (966 citations), Artificial Intelligence (1.1k citations), Signal Processing (326 citations), Information Systems (490 citations) and Electrical and Electronic Engineering (985 citations). Di Ma has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Gene Tsudik, Bang Wang, Hock Beng Lim, Yan Zhu, Lulu Zhang, Xuelin Yang, Er Meng Joo, Haojin Zhu, Xiaokai Ding and Nitesh Saxena. Their work appears in journals such as IEEE Access, IEEE Transactions on Information Forensics and Security, SAE technical papers on CD-ROM/SAE technical paper series, IEEE Internet of Things Journal and ACS Applied Materials & Interfaces.

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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