P. P. Su

57 papers receiving 705 citations

P. P. Su's Hit Papers

Alloy nanocluster artificial photosystems steering photoredox organic transformation 2025 · 35 citations
350Years since publication102030

Peers

P. P. Su
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 483
  • Instrumentation 32
  • Mechanical Engineering 339
  • Computational Mechanics 142
  • Atomic and Molecular Physics, and Optics 191
Replace Shan Jiang with:
Shan Jiang China
Toshiyuki Takatsuji Japan
Haitao Wu China
Wen‐Yuan Chen China
Tongbo Chen Germany
Fangxiaoyu Feng China
Psang Dain Lin Taiwan
Masahiro Watanabe Japan
Nor Hisham Hamid Malaysia
P. P. Su relative to Shan Jiang China Shan Jiang's profile →
Citations per field
00.5×3.4×
Shan Jiang · 1×
Citations per year

Countries citing papers authored by P. P. Su

Since Specialization
Citations

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

Fields of papers citing papers by P. P. Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010213
2 201863
3 201546
4 201443
5
Alloy nanocluster artificial photosystems steering photoredox organic transformation
Hit paper breakdown →
202535
6 200931
7 200928
8 200621
9 201120
10 201318
11 200916
12 201513
13 202213
14 201213
15 201312
16 201311
17 200711
18 201410
19 201810
20 20238

About P. P. Su

P. P. Su is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering, Atomic and Molecular Physics, and Optics, Artificial Intelligence and Electrical and Electronic Engineering, having authored 67 papers that have together received 739 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (23 papers), Advanced Measurement and Metrology Techniques (17 papers), Adaptive optics and wavefront sensing (14 papers), Autonomous Vehicle Technology and Safety (4 papers), Anomaly Detection Techniques and Applications (4 papers), Fault Detection and Control Systems (4 papers), Advanced X-ray Imaging Techniques (3 papers) and Surface Roughness and Optical Measurements (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (483 citations), Instrumentation (32 citations), Mechanical Engineering (339 citations), Computational Mechanics (142 citations) and Atomic and Molecular Physics, and Optics (191 citations). P. P. Su has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include James H. Burge, Robert E. Parks, Lirong Wang, Roger Angel, Mourad Idir, Yilong Yin, Gongping Yang, DeJiu Chen, Kun Su and Lu Yang. Their work appears in journals such as Optical Engineering, Journal of Industrial Information Integration, Applied Sciences, Neurocomputing and Bioinformatics.

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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