Tian Pu

1.2k citations
52 papers · 825 · h-index 14

Impact in

Papers in

Tian Pu

49 papers receiving 796 citations

Peers

Tian Pu
Comparison fields: 5 of 79
  • Media Technology 265
  • Computer Vision and Pattern Recognition 249
  • Aerospace Engineering 274
  • Artificial Intelligence 230
  • Health Informatics 6
Replace Liu Li with:
Liu Li China
Guanghui Yue China
Hasan Şakir Bılge Türkiye
Guoxia Xu China
Luping Ji China
Shahid Karim China
Minsik Lee South Korea
Faisal Z. Qureshi Canada
Tian Pu relative to Liu Li China Liu Li's profile →
Citations per field
00.5×6.4×
Liu Li · 1×
Citations per year

Countries citing papers authored by Tian Pu

Since Specialization
Citations

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

Fields of papers citing papers by Tian Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000121
2 202091
3 202071
4 202267
5 202165
6 202147
7 202243
8 202341
9 201833
10 202131
11 202121
12 201919
13 202015
14 202214
15 202112
16 202411
17 202311
18 20179
19 19989
20 20228

About Tian Pu

Tian Pu is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Artificial Intelligence, Aerospace Engineering and Electrical and Electronic Engineering, having authored 52 papers that have together received 825 indexed citations. Recurring topics across this work include Infrared Target Detection Methodologies (10 papers), Advanced Image Fusion Techniques (7 papers), Adversarial Robustness in Machine Learning (6 papers), Image Enhancement Techniques (6 papers), Remote-Sensing Image Classification (6 papers), Advanced Measurement and Detection Methods (5 papers), Privacy-Preserving Technologies in Data (5 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Media Technology (265 citations), Computer Vision and Pattern Recognition (249 citations), Aerospace Engineering (274 citations), Artificial Intelligence (230 citations) and Health Informatics (6 citations). Tian Pu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wei Yu, Weixian Liao, Zhenming Peng, Erik Blasch, Xiaoyang Wang, Ping Zhang, Shuhang Wang, Chunping Yang, Yuchen Yuan and Fengyi Wu. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Future Internet, European Journal of Pediatrics, IEEE Transactions on Consumer Electronics and Health Information Science and 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.

Explore authors with similar magnitude of impact