Kaihua Long

618 total citations
14 papers, 523 citations indexed

About

Kaihua Long is a scholar working on Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Materials Chemistry. According to data from OpenAlex, Kaihua Long has authored 14 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Materials Chemistry. Recurrent topics in Kaihua Long's work include Plasma Applications and Diagnostics (5 papers), Electrohydrodynamics and Fluid Dynamics (4 papers) and Plasma Diagnostics and Applications (3 papers). Kaihua Long is often cited by papers focused on Plasma Applications and Diagnostics (5 papers), Electrohydrodynamics and Fluid Dynamics (4 papers) and Plasma Diagnostics and Applications (3 papers). Kaihua Long collaborates with scholars based in China. Kaihua Long's co-authors include Tao Shao, Ping Yan, Shi-Chang Zhang, Cheng Zhang, Dongdong Zhang, Yuanxiang Zhou, Yan Ping, Cheng Zhang, Jue Wang and Jue Wang and has published in prestigious journals such as Journal of Ethnopharmacology, Applied Surface Science and Journal of Physics D Applied Physics.

In The Last Decade

Kaihua Long

13 papers receiving 499 citations

Peers

Kaihua Long
Comparison fields: 5 of 61
  • Radiology, Nuclear Medicine and Imaging 404
  • Electrical and Electronic Engineering 388
  • Surfaces, Coatings and Films 113
  • Materials Chemistry 92
  • Biomedical Engineering 51
Nikolay Trushkin Russia
Martin Šíra Czechia
M. Kuzumoto Japan
Zoran Falkenstein United States
Markus Stähler Germany
Chaoqun Shi China
Graciela Prieto Argentina
M. Valente Argentina
K.‐P. Francke Ukraine
Nikolay Trushkin Russia View profile →
Citations per field, relative to Kaihua Long
Kaihua Long · 1×
Citations per year, relative to Kaihua Long
Kaihua Long · 1×

Countries citing papers authored by Kaihua Long

Since Specialization
Citations

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

Fields of papers citing papers by Kaihua Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaihua Long

This figure shows the co-authorship network connecting the top 25 collaborators of Kaihua Long. A scholar is included among the top collaborators of Kaihua Long 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 Kaihua Long. Kaihua Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
# Work Indexed citations
1 1
2 0
3 8
4 17
5 2
6 4
7 1
8 1
9 169
10 8
11 62
12 55
13 167
14 28

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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2026