Cheng‐Chi Wang

2.8k citations
147 papers · 2.2k indexed · h-index 23

Cheng‐Chi Wang

137 papers receiving 2.2k citations

Peers

Cheng‐Chi Wang
Comparison fields: 5 of 136
  • Endocrinology, Diabetes and Metabolism 342
  • Mechanical Engineering 729
  • Control and Systems Engineering 426
  • Statistical and Nonlinear Physics 170
  • Epidemiology 298
Replace Akira Kojima with:
Akira Kojima Japan
Mark Fleming United States
Dali Chen China
Chuhua Zhang China
Satoshi Ogasawara Japan
Ping Lin China
Hongru Li China
Dan Dan China
Marco H. Terra Brazil
W. Lance Richards United States
Cheng‐Chi Wang relative to Akira Kojima Japan Akira Kojima's profile →
Citations per field
00.5×2.8×
Akira Kojima · 1×
Citations per year

Countries citing papers authored by Cheng‐Chi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Cheng‐Chi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng‐Chi Wang. 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 Cheng‐Chi Wang. The network helps show where Cheng‐Chi Wang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20253
4 20250
5 20240
6 20241
7 202310
8 20232
9 20198
10 201718
11 201610
12 201313
13
A NOVEL OPTIMIZED ENERGY-SAVING EXTRACTION PROCESS ON COFFEE
20111
14 201154
15 201054
16 201015
17 200912
18 200821
19 200412
20 1998375

About Cheng‐Chi Wang

Cheng‐Chi Wang is a scholar working on Mechanical Engineering, Fluid Flow and Transfer Processes, Control and Systems Engineering, Statistical and Nonlinear Physics and Mechanics of Materials, having authored 147 papers that have together received 2.2k indexed citations. Recurring topics across this work include Tribology and Lubrication Engineering (40 papers), Gear and Bearing Dynamics Analysis (27 papers), Magnetic Bearings and Levitation Dynamics (17 papers), Lubricants and Their Additives (14 papers), Mechanical and Optical Resonators (13 papers), Force Microscopy Techniques and Applications (11 papers), Advanced machining processes and optimization (10 papers) and Metallurgy and Material Forming (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (342 citations), Mechanical Engineering (729 citations), Control and Systems Engineering (426 citations), Statistical and Nonlinear Physics (170 citations) and Epidemiology (298 citations). Cheng‐Chi Wang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Her‐Terng Yau, Ming-Jyi Jang, Chung‐Yi Wu, Chi‐Huey Wong, Yen-Liang Yeh, M Takeuchi, Peter Singer, Jonathan S. LoPresti, John T. Nicoloff and Carole A. Spencer. Their work appears in journals such as Journal of low frequency noise, vibration and active control, Nonlinear Dynamics, Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science, The International Journal of Advanced Manufacturing Technology and IEEE Access.

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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