Kai Pan

2.2k citations
87 papers · 1.6k · h-index 21

Impact in

  • Software top 0.5%
    • Software Reliability and Analysis Research
    • Software Testing and Debugging Techniques
    • Software Engineering Research

Papers in

Kai Pan

77 papers receiving 1.6k citations

Peers

Kai Pan
Comparison fields: 5 of 93
  • Software 596
  • Information Systems 679
  • Electronic, Optical and Magnetic Materials 287
  • Computer Science Applications 60
  • Computer Networks and Communications 248
Replace Sudipto Ghosh with:
Sudipto Ghosh United States
Jiyong Jang United States
Ting Yuan China
Zhan Zhang China
Wenfei Wu China
Taisuke Sato Japan
Shahin Nazarian United States
Jinfeng Li China
Quanyuan Feng China
Li Su China
Kai Pan relative to Sudipto Ghosh United States Sudipto Ghosh's profile →
Citations per field
00.5×8.6×
Sudipto Ghosh · 1×
Citations per year

Countries citing papers authored by Kai Pan

Since Specialization
Citations

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

Fields of papers citing papers by Kai Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006253
2 2008168
3 2006107
4 200983
5 200571
6 201655
7 201048
8 201243
9 201842
10 202240
11 201838
12 202136
13 200636
14 201136
15 201934
16 201329
17 202125
18 200625
19 201423
20 201221

About Kai Pan

Kai Pan is a scholar working on Materials Chemistry, Electronic, Optical and Magnetic Materials, Biomedical Engineering, Information Systems and Atomic and Molecular Physics, and Optics, having authored 87 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ferroelectric and Piezoelectric Materials (22 papers), Acoustic Wave Resonator Technologies (15 papers), Software Engineering Research (14 papers), Multiferroics and related materials (11 papers), Software Testing and Debugging Techniques (10 papers), Force Microscopy Techniques and Applications (9 papers), Software Reliability and Analysis Research (9 papers) and Magnetic and transport properties of perovskites and related materials (9 papers). The work is most often cited by research in Software (596 citations), Information Systems (679 citations), Electronic, Optical and Magnetic Materials (287 citations), Computer Science Applications (60 citations) and Computer Networks and Communications (248 citations). Kai Pan has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include E. James Whitehead, Sunghun Kim, Sunghun Kim, Thomas Zimmermann, Michael W. Deem, Xintao Wu, Tao Xie, Jiangyu Li, Yunya Liu and Chihou Lei. Their work appears in journals such as Journal of Applied Physics, Optics Communications, Applied Physics Letters, International Journal of Solids and Structures and Applied Optics.

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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