Chun‐Ta Li

4.1k citations
126 papers · 3.4k · 2 hit papers · h-index 31

Impact in

Papers in

Chun‐Ta Li

125 papers receiving 3.2k citations

Chun‐Ta Li's Hit Papers

Design and Implementation of an ML and IoT Based Adaptive Traffic-Management System for Smart Cities 2022 · 121 citations
1210+5+11Years since publication100200300400

Peers

Chun‐Ta Li
Comparison fields: 5 of 108
  • Computer Networks and Communications 2.3k
  • Information Systems 2.1k
  • Signal Processing 626
  • Artificial Intelligence 1.1k
  • Computer Vision and Pattern Recognition 464
Replace Rakesh Tripathi with:
Rakesh Tripathi India
Massimo Ficco Italy
Marimuthu Karuppiah India
Saqib Hakak Canada
Sudarshan S. Chawathe United States
Walter de Donato Italy
Alessandra Rizzardi Italy
Zhiyuan Tan United Kingdom
Taeshik Shon South Korea
Safa Otoum United Arab Emirates
Chun‐Ta Li relative to Rakesh Tripathi India Rakesh Tripathi's profile →
Citations per field
00.5×10.2×
Rakesh Tripathi · 1×
Citations per year

Countries citing papers authored by Chun‐Ta Li

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Ta Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Ta Li. 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 Chun‐Ta Li. The network helps show where Chun‐Ta Li may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An efficient biometrics-based remote user authentication scheme using smart cards
Hit paper breakdown →
2009412
2 2007198
3 2013122
4
Design and Implementation of an ML and IoT Based Adaptive Traffic-Management System for Smart Cities
Hit paper breakdown →
2022121
5 2017101
6 201195
7 201883
8 201375
9 201375
10 202273
11 201471
12 201565
13 201662
14 202361
15 201161
16 201660
17 201455
18 202054
19 201353
20 200453

About Chun‐Ta Li

Chun‐Ta Li is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 126 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Authentication Protocols Security (70 papers), User Authentication and Security Systems (52 papers), Cryptography and Data Security (38 papers), Chaos-based Image/Signal Encryption (14 papers), Biometric Identification and Security (12 papers), Cloud Data Security Solutions (12 papers), RFID technology advancements (10 papers) and Security in Wireless Sensor Networks (9 papers). The work is most often cited by research in Computer Networks and Communications (2.3k citations), Information Systems (2.1k citations), Signal Processing (626 citations), Artificial Intelligence (1.1k citations) and Computer Vision and Pattern Recognition (464 citations). Chun‐Ta Li has collaborated with scholars based in Taiwan, Nigeria and India. Frequent co-authors include Cheng‐Chi Lee, Min‐Shiang Hwang, Chi-Yao Weng, Yen‐Ping Chu, Chin‐Ling Chen, Agbotiname Lucky Imoize, Chun-Cheng Wang, Chien‐Ming Chen, Dong‐Her Shih and Che-Wei Hsu. Their work appears in journals such as IEEE Access, Nonlinear Dynamics, Journal of Medical Systems, Soft Computing and Sensors.

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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