Ting Chen

9.6k total citations · 1 hit paper
167 papers, 4.8k citations indexed

About

Ting Chen is a scholar working on Information Systems, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Ting Chen has authored 167 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Information Systems, 50 papers in Artificial Intelligence and 37 papers in Signal Processing. Recurrent topics in Ting Chen's work include Blockchain Technology Applications and Security (52 papers), Advanced Malware Detection Techniques (35 papers) and Software Testing and Debugging Techniques (18 papers). Ting Chen is often cited by papers focused on Blockchain Technology Applications and Security (52 papers), Advanced Malware Detection Techniques (35 papers) and Software Testing and Debugging Techniques (18 papers). Ting Chen collaborates with scholars based in China, Hong Kong and United States. Ting Chen's co-authors include Xiapu Luo, Xiaoqi Li, Qiaoyan Wen, Peng Jiang, Xiaosong Zhang, Jiachi Chen, Adam Heller, Zihao Li, Scott Calabrese Barton and Zhiqiang Gao and has published in prestigious journals such as Journal of the American Chemical Society, Applied Physics Letters and Journal of The Electrochemical Society.

In The Last Decade

Ting Chen

138 papers receiving 4.7k citations

Hit Papers

A survey on the security of blockchain systems 2017 2026 2020 2023 2017 250 500 750 1000

Peers

Ting Chen
Comparison fields: 5 of 142
  • Information Systems 2.5k
  • Artificial Intelligence 1.1k
  • Electrical and Electronic Engineering 928
  • Computer Networks and Communications 922
  • Signal Processing 607
Replace Dongmei Zhang with:
Dongmei Zhang China
Claudio Gutiérrez Chile
Qiming Chen China
Junliang Chen China
Stefan Wagner Germany
Alireza Souri Iran
Ke Xu China
Ting Liu China
Tom Chen United States
Tai-hoon Kim South Korea
Dongmei Zhang China View profile →
Citations per field, relative to Ting Chen
Ting Chen · 1×
Citations per year, relative to Ting Chen
Ting Chen · 1×

Countries citing papers authored by Ting Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ting Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Chen. A scholar is included among the top collaborators of Ting Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ting Chen. Ting Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 1
5 9
6 2
7 5
8 2
9 2
10 18
11 0
12 8
13 5
14 10
15 21
16 24
17 10
18 69
19
Malton: Towards On-Device Non-Invasive Mobile Malware Analysis for {ART}
37
20
Analysis and improvement of 4-equation based on FSI
1

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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