Xin Du

952 citations
49 papers · 501 · h-index 11

Impact in

Papers in

Xin Du

42 papers receiving 476 citations

Peers

Xin Du
Comparison fields: 5 of 81
  • Computer Networks and Communications 195
  • Information Systems 167
  • Artificial Intelligence 208
  • Health Informatics 6
  • Signal Processing 39
Replace Manmath Narayan Sahoo with:
Manmath Narayan Sahoo India
Maxim Chernyshev Australia
Isma Farah Siddiqui South Korea
Mohammad Arifuzzaman Japan
Syed Atif Moqurrab Pakistan
Vasileios A. Memos Greece
Zhuotao Lian Japan
Fargana J. Abdullayeva Azerbaijan
Xin Du relative to Manmath Narayan Sahoo India Manmath Narayan Sahoo's profile →
Citations per field
00.5×1.5×2.5×
Manmath Narayan Sahoo · 1×
Citations per year

Countries citing papers authored by Xin Du

Since Specialization
Citations

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

Fields of papers citing papers by Xin Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202293
2 202060
3 202246
4 202133
5 202231
6 201920
7 202219
8 201917
9 202317
10 202216
11 202215
12 202310
13 202310
14 20199
15 20239
16 20249
17 20238
18 20228
19 20227
20 20226

About Xin Du

Xin Du is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 501 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (13 papers), Caching and Content Delivery (8 papers), Cloud Computing and Resource Management (5 papers), Advanced Memory and Neural Computing (4 papers), Privacy-Preserving Technologies in Data (4 papers), Recommender Systems and Techniques (4 papers), Context-Aware Activity Recognition Systems (3 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Computer Networks and Communications (195 citations), Information Systems (167 citations), Artificial Intelligence (208 citations), Health Informatics (6 citations) and Signal Processing (39 citations). Xin Du has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhihui Lu, Jie Wu, Patrick C. K. Hung, Qiang Duan, Yujie Wang, Keke Gai, Jie Wu, Jianlong Xu, Weihong Cai and Peng Chen. Their work appears in journals such as IEEE Transactions on Industrial Informatics, IEEE Access, IEEE Internet of Things Journal, PLoS ONE and Science China Physics Mechanics and Astronomy.

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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