Changting Lin

425 citations
20 papers · 246 · h-index 10

Impact in

    • IoT and Edge/Fog Computing
    • Network Security and Intrusion Detection
    • Software-Defined Networks and 5G
    • Software System Performance and Reliability
    • Blockchain Technology Applications and Security
    • Cloud Computing and Resource Management

Papers in

Changting Lin

17 papers receiving 235 citations

Peers

Changting Lin
Comparison fields: 5 of 40
  • Computer Networks and Communications 132
  • Information Systems 127
  • Signal Processing 44
  • Artificial Intelligence 89
  • Software 7
Replace Silvia Bonomi with:
Silvia Bonomi Italy
Michal Trnka Czechia
Prakash Kolan United States
Shirley M. Radack United States
Yuxing Chen China
Sari Sultan Kuwait
William R. Claycomb United States
Gbadebo Ayoade United States
Gopinath Ganapathy India
Changting Lin relative to Silvia Bonomi Italy Silvia Bonomi's profile →
Citations per field
00.5×1.5×1.8×
Silvia Bonomi · 1×
Citations per year

Countries citing papers authored by Changting Lin

Since Specialization
Citations

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

Fields of papers citing papers by Changting Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202037
2 201935
3 201830
4 202228
5 202125
6 202116
7 201616
8 201612
9 202012
10 202211
11 20225
12 20165
13 20225
14 20232
15 20222
16 20162
17 20172
18 20121
19 20240
20 20240

About Changting Lin

Changting Lin is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Signal Processing and Electrical and Electronic Engineering, having authored 20 papers that have together received 246 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (5 papers), Network Security and Intrusion Detection (4 papers), Network Traffic and Congestion Control (4 papers), Blockchain Technology Applications and Security (3 papers), Spam and Phishing Detection (3 papers), Advanced Malware Detection Techniques (3 papers), Cryptography and Data Security (2 papers) and Digital and Cyber Forensics (2 papers). The work is most often cited by research in Computer Networks and Communications (132 citations), Information Systems (127 citations), Signal Processing (44 citations), Artificial Intelligence (89 citations) and Software (7 citations). Changting Lin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shouling Ji, Zhenyu Wen, Raheem Beyah, Jingzheng Wu, Chunming Wu, Binbin Zhao, Liming Fang, Shubham Goyal, Bei Wang and Rajiv Ranjan. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, Neurocomputing, IEEE Transactions on Emerging Topics in Computational Intelligence, IEEE Transactions on Parallel and Distributed Systems and Wireless Communications and Mobile Computing.

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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