Xiangjun Ma

20 papers receiving 197 citations

Peers

Xiangjun Ma
Comparison fields: 5 of 68
  • Microbiology 3
  • Artificial Intelligence 96
  • Computer Networks and Communications 59
  • Signal Processing 27
  • Health Informatics 3
Replace A. Nagaraja Rao with:
A. Nagaraja Rao India
Nahida Islam United States
Xin Yuan China
Rui Shu United States
Simona Rabinovici‐Cohen Israel
Feiran Wang China
Zhanyong Wan United States
H. K. Huang United States
Shih-Chung Tsai Taiwan
Malika Mahoui United States
Xiangjun Ma relative to A. Nagaraja Rao India A. Nagaraja Rao's profile →
Citations per field
00.5×2.8×
A. Nagaraja Rao · 1×
Citations per year

Countries citing papers authored by Xiangjun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Xiangjun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201465
2 202342
3 202438
4 202113
5 20208
6 20236
7 20235
8
[Current status of smoking and passive smoking among aged 45 to 65 years old females in five cities of China].
20144
9 20214
10 20243
11 20213
12 20252
13 20222
14 20212
15 20232
16 20162
17 20181
18 20241
19
Status Quo of Signal Detection of Adverse Drug Reaction
20131
20 20221

About Xiangjun Ma

Xiangjun Ma is a scholar working on Artificial Intelligence, Computer Networks and Communications, Sociology and Political Science, Pathology and Forensic Medicine and Epidemiology, having authored 23 papers that have together received 205 indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (6 papers), Privacy, Security, and Data Protection (5 papers), Breast Lesions and Carcinomas (4 papers), Network Security and Intrusion Detection (3 papers), Blockchain Technology Applications and Security (2 papers), AI in cancer detection (2 papers), Fungal Infections and Studies (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). The work is most often cited by research in Microbiology (3 citations), Artificial Intelligence (96 citations), Computer Networks and Communications (59 citations), Signal Processing (27 citations) and Health Informatics (3 citations). Xiangjun Ma has collaborated with scholars based in China, Ireland and United States. Frequent co-authors include Jingsha He, Nafei Zhu, Sirajuddin Qureshi, Ahsan Wajahat, Muhammad Salman Pathan, Ahsan Nazir, Faheem Ullah, Faheem Ullah, Kexin Chen and Yubei Huang. Their work appears in journals such as Breastfeeding Medicine, Computer Communications, Journal of King Saud University - Computer and Information Sciences, International Journal of Information Security and Transactions on Emerging Telecommunications Technologies.

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.

Explore authors with similar magnitude of impact