Congo Tak‐Shing Ching

879 citations
64 papers · 593 · h-index 14

Impact in

Papers in

Congo Tak‐Shing Ching

55 papers receiving 582 citations

Peers

Congo Tak‐Shing Ching
Comparison fields: 5 of 121
  • Bioengineering 49
  • Pathology and Forensic Medicine 116
  • Pharmaceutical Science 36
  • Pharmacology 86
  • Biomedical Engineering 181
Replace Yeo Hyung Kim with:
Yeo Hyung Kim South Korea
Jianxing Chen China
Miyoko Matsushima Japan
Xiaoyan Liu China
Tetsuya Abe Japan
Jiajia Zhang China
Zehua Chen China
Rahel Stoop Switzerland
Ki Chang Nam South Korea
Devangsingh Sankhala United States
Congo Tak‐Shing Ching relative to Yeo Hyung Kim South Korea Yeo Hyung Kim's profile →
Citations per field
00.5×6.4×
Yeo Hyung Kim · 1×
Citations per year

Countries citing papers authored by Congo Tak‐Shing Ching

Since Specialization
Citations

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

Fields of papers citing papers by Congo Tak‐Shing Ching

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Congo Tak‐Shing Ching. 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 Congo Tak‐Shing Ching. The network helps show where Congo Tak‐Shing Ching may publish in the future.

Co-authors

The 25 scholars most cited alongside Congo Tak‐Shing Ching, 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 Congo Tak‐Shing Ching Line = papers co-authored together Congo Tak‐Shing Ching links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200375
2 200448
3 202046
4 201041
5 202324
6 201923
7 201322
8 201020
9 201119
10 202214
11 201513
12 201213
13 201413
14 200413
15 200712
16 200712
17 202411
18 201011
19 201211
20 201210

About Congo Tak‐Shing Ching

Congo Tak‐Shing Ching is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Bioengineering, Molecular Biology and Physiology, having authored 64 papers that have together received 593 indexed citations. Recurring topics across this work include Analytical Chemistry and Sensors (12 papers), Electrochemical sensors and biosensors (8 papers), Advanced biosensing and bioanalysis techniques (7 papers), Microfluidic and Bio-sensing Technologies (6 papers), Microbial Inactivation Methods (6 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), Electrical and Bioimpedance Tomography (5 papers) and Thermoregulation and physiological responses (4 papers). The work is most often cited by research in Bioengineering (49 citations), Pathology and Forensic Medicine (116 citations), Pharmaceutical Science (36 citations), Pharmacology (86 citations) and Biomedical Engineering (181 citations). Congo Tak‐Shing Ching has collaborated with scholars based in Taiwan, Vietnam and Hong Kong. Frequent co-authors include Daniel H. K. Chow, F.Y.D. Yao, Andrew D. Holmes, Tai‐Ping Sun, Patricia Connolly, Su-Hua Huang, Kang-Ming Chang, Chung‐Yuan Chen, Huimin Wang and Chia‐Ming Liu. Their work appears in journals such as Sensors and Actuators B Chemical, International Journal of Nanomedicine, Sensors, Results in Engineering and Biosensors.

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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