J.T.L. Wang

512 citations
20 papers · 282 · h-index 10

Impact in

Papers in

    • Algorithms and Data Compression 9
    • Semantic Web and Ontologies 2
    • Genomics and Phylogenetic Studies 5
    • RNA and protein synthesis mechanisms 3
    • Fractal and DNA sequence analysis 2

J.T.L. Wang

19 papers receiving 257 citations

Peers

J.T.L. Wang
Comparison fields: 5 of 54
  • Signal Processing 88
  • Information Systems 106
  • Artificial Intelligence 116
  • Computer Networks and Communications 69
  • Computer Vision and Pattern Recognition 59
Replace Jun Huan with:
Jun Huan United States
Natalia Vanetik Israel
Jason Tsong-Li Wang United States
Gilles Bisson France
Paraskevi Raftopoulou Greece
Eric Mays United States
David Fuhry United States
Anni-Yasmin Turhan Germany
H. Briand France
Francisco Claude Chile
J.T.L. Wang relative to Jun Huan United States Jun Huan's profile →
Citations per field
00.5×1.7×
Jun Huan · 1×
Citations per year

Countries citing papers authored by J.T.L. Wang

Since Specialization
Citations

This map shows the geographic impact of J.T.L. 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 J.T.L. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.T.L. Wang more than expected).

Fields of papers citing papers by J.T.L. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside J.T.L. 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 J.T.L. Wang Line = papers co-authored together J.T.L. Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 199859
2 200436
3 200330
4 200129
5 200228
6 200523
7 200521
8 200415
9 200311
10 200210
11 20024
12 20104
13 20024
14 20023
15 20251
16 20021
17 20021
18 20061
19 20021
20 20030

About J.T.L. Wang

J.T.L. Wang is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Computer Networks and Communications and Signal Processing, having authored 20 papers that have together received 282 indexed citations. Recurring topics across this work include Algorithms and Data Compression (9 papers), Genomics and Phylogenetic Studies (5 papers), Data Management and Algorithms (4 papers), Data Mining Algorithms and Applications (4 papers), Advanced Database Systems and Queries (4 papers), RNA and protein synthesis mechanisms (3 papers), Fractal and DNA sequence analysis (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Signal Processing (88 citations), Information Systems (106 citations), Artificial Intelligence (116 citations), Computer Networks and Communications (69 citations) and Computer Vision and Pattern Recognition (59 citations). J.T.L. Wang has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Dennis Shasha, Kaizhong Zhang, Bruce A. Shapiro, Kathleen M. Currey, Sen Zhang, Qicheng Ma, Cathy Wu, William H. Piel, Xiangyu Wang and Isidore Rigoutsos. Their work appears in journals such as IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics), IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications, IEEE Transactions on Knowledge and Data Engineering and View.

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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