Pusheng Zhang

1.4k citations
35 papers · 833 indexed · h-index 17
Topics
Data Management and Algorithms (9 papers)Data Mining Algorithms and Applications (8 papers)Anomaly Detection Techniques and Applications (4 papers)

In The Last Decade

Pusheng Zhang

35 papers receiving 787 citations

Peers

Pusheng Zhang
Comparison fields: 5 of 114
  • Artificial Intelligence 269
  • Signal Processing 264
  • Information Systems 126
  • Epidemiology 121
  • Molecular Biology 105
Replace Sau Dan Lee with:
Sau Dan Lee Hong Kong
Wentao Fan China
Alexandros Kalousis Switzerland
Yaoli Wang China
Mete Çelik Türkiye
Zeyi Wen Australia
Yongshun Gong China
Shengli Wu United Kingdom
Aurélie Lozano United States
Fusheng Yu China
Pusheng Zhang relative to Sau Dan Lee Hong Kong Sau Dan Lee's profile →
Citations per field
00.5×10×15×20×24.2×
Sau Dan Lee · 1×
Citations per year

Countries citing papers authored by Pusheng Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Pusheng Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pusheng Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Pusheng Zhang. A scholar is included among the top collaborators of Pusheng Zhang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pusheng Zhang. Pusheng Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 2
3 34
4 4
5 2
6 12
7 5
8 6
9
Scaling Machine Learning as a Service.
1
10 9
11 3
12 78
13 16
14 8
15
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
8
16 74
17 34
18 19
19 15
20 42

About Pusheng Zhang

Pusheng Zhang is a scholar working on Signal Processing, Cancer Research and Statistics and Probability, having authored 35 papers that have together received 833 indexed citations. Recurring topics across this work include Data Management and Algorithms (9 papers), Data Mining Algorithms and Applications (8 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Signal Processing (264 citations), Transportation (58 citations) and Artificial Intelligence (269 citations). Pusheng Zhang has collaborated with scholars based in China, United States and British Virgin Islands. Frequent co-authors include Chang‐Tien Lu, Shashi Shekhar, Yan Huang, Liqin Zhang, Shashi Shekhar, André Bénard, Guoli Shao, Zong-hai Huang, Shuai Han and Shufeng Ji. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Medical Image Analysis and Surgical Endoscopy.

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

Rankless by CCL
2026