Ken Zhang

713 citations
25 papers · 582 · h-index 9

Impact in

Papers in

Ken Zhang

20 papers receiving 563 citations

Peers

Ken Zhang
Comparison fields: 5 of 82
  • Immunology and Allergy 222
  • Rehabilitation 125
  • Software 43
  • Cell Biology 183
  • Urology 35
Replace Mikko Nieminen with:
Mikko Nieminen Finland
Hanneke N. Monsuur Netherlands
K Haapasalmi Finland
M.-Dominique Kubler United Kingdom
Chin-Han Ho United States
Eric J. Carlson United States
Hans-Jürgen Stark Germany
Mervi Toriseva Finland
Candace W.-C. Kao United States
P A Barry United States
Ken Zhang relative to Mikko Nieminen Finland Mikko Nieminen's profile →
Citations per field
00.5×10×15×20×25×
Mikko Nieminen · 1×
Citations per year

Countries citing papers authored by Ken Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ken Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996160
2 1993139
3 199278
4 199774
5 200660
6 201513
7 199610
8 19979
9 20238
10
Randomized clinical trial comparing whitening strips, paint-on gel and negative control.
20077
11 20206
12 20235
13 20193
14 20192
15 20182
16 20222
17 20251
18 20221
19 20211
20 20221

About Ken Zhang

Ken Zhang is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering, Computer Networks and Communications, Information Systems and Cell Biology, having authored 25 papers that have together received 582 indexed citations. Recurring topics across this work include Electronic Packaging and Soldering Technologies (4 papers), Heat Transfer and Optimization (4 papers), Cell Adhesion Molecules Research (3 papers), 3D IC and TSV technologies (3 papers), Cellular Mechanics and Interactions (3 papers), Cloud Computing and Resource Management (3 papers), Dermatologic Treatments and Research (2 papers) and Structural Integrity and Reliability Analysis (2 papers). The work is most often cited by research in Immunology and Allergy (222 citations), Rehabilitation (125 citations), Software (43 citations), Cell Biology (183 citations) and Urology (35 citations). Ken Zhang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Randall H. Kramer, Kimberly C Wynn, Ahmed E. Hassan, M. Anthony Pogrel, David T. Woodley, Y Sarret, David T. Woodley, Zhongwen Yao, Nahid Waleh and Mark R. Daymond. Their work appears in journals such as Experimental Cell Research, Lasers in Surgery and Medicine, Journal of Cellular Physiology, Frontiers in Physiology and Journal of Nuclear Materials.

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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