J. Tan

1.6k citations
44 papers · 1.2k indexed · h-index 15

J. Tan

40 papers receiving 1.1k citations

Peers

J. Tan
Comparison fields: 5 of 99
  • Hardware and Architecture 229
  • Analytical Chemistry 331
  • Animal Science and Zoology 327
  • Computer Networks and Communications 515
  • Geometry and Topology 112
Replace José A. Martínez with:
José A. Martínez United States
Hee‐Chul Kim South Korea
Alexandre C. B. Delbem Brazil
Christos Tachtatzis United Kingdom
Donglin Su China
Yongwha Chung South Korea
Qiong Dai China
Yun Liang China
Juan Gómez Ortega Spain
Ted H. Szymanski Canada
J. Tan relative to José A. Martínez United States José A. Martínez's profile →
Citations per field
00.5×10×20×28×
José A. Martínez · 1×
Citations per year

Countries citing papers authored by J. Tan

Since Specialization
Citations

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

Fields of papers citing papers by J. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20240
4 20230
5 202013
6 200616
7 2005319
8 200314
9 200310
10 20033
11 20022
12 20023
13 2000112
14 200011
15 1999106
16 199912
17 19964
18 199620
19 19932
20 19933

About J. Tan

J. Tan is a scholar working on Analytical Chemistry, Animal Science and Zoology, Computer Graphics and Computer-Aided Design, Hardware and Architecture and Computer Networks and Communications, having authored 44 papers that have together received 1.2k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (13 papers), Meat and Animal Product Quality (9 papers), Interconnection Networks and Systems (8 papers), Advanced Chemical Sensor Technologies (5 papers), Identification and Quantification in Food (4 papers), Fault Detection and Control Systems (3 papers), Food composition and properties (3 papers) and Advanced Optical Network Technologies (3 papers). The work is most often cited by research in Hardware and Architecture (229 citations), Analytical Chemistry (331 citations), Animal Science and Zoology (327 citations), Computer Networks and Communications (515 citations) and Geometry and Topology (112 citations). J. Tan has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Lih‐Hsing Hsu, Pao-Lien Lai, David E. Gerrard, Chien-Ping Chang, Xin Gao, P. Shatadal, Hildegarde Heymann, Jun Lu, F.A. Martz and Hong-Chun Hsu. Their work appears in journals such as Meat Science, Journal of Food Process Engineering, Journal of Food Science, IEEE Transactions on Computers and Journal of Dairy Science.

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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