Chiao-Ting Chen

529 citations
25 papers · 326 indexed · h-index 12
Topics
Recommender Systems and Techniques (12 papers)Stock Market Forecasting Methods (9 papers)Advanced Graph Neural Networks (8 papers)
Partner nations
Taiwan

In The Last Decade

Chiao-Ting Chen

22 papers receiving 311 citations

Peers

Chiao-Ting Chen
Comparison fields: 5 of 55
  • Artificial Intelligence 154
  • Management Science and Operations Research 105
  • Information Systems 100
  • Economics and Econometrics 65
  • Electrical and Electronic Engineering 40
Replace Qiuyue Zhang with:
Qiuyue Zhang China
Majid Vafaei Jahan Iran
Pin Ni United Kingdom
Christopher D. Clack United Kingdom
Tae Hyup Roh South Korea
Andrés L. Suárez‐Cetrulo Ireland
Hangjun Zhou China
Wenguo Ai China
Jianping Zeng China
Milija Suknović Serbia
Chiao-Ting Chen relative to Qiuyue Zhang China Qiuyue Zhang's profile →
Citations per field
00.5×1.5×1.8×
Qiuyue Zhang · 1×
Citations per year

Countries citing papers authored by Chiao-Ting Chen

Since Specialization
Citations

This map shows the geographic impact of Chiao-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 Chiao-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 Chiao-Ting Chen more than expected).

Fields of papers citing papers by Chiao-Ting Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiao-Ting Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chiao-Ting Chen. A scholar is included among the top collaborators of Chiao-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 Chiao-Ting Chen. Chiao-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
#WorkIndexed citations
1 0
2 0
3 0
4 2
5 1
6 2
7 14
8 14
9 4
10 7
11 9
12 24
13 29
14 13
15 34
16 25
17 13
18 22
19 2
20 2

About Chiao-Ting Chen

Chiao-Ting Chen is a scholar working on Management Science and Operations Research, Information Systems and Finance, having authored 25 papers that have together received 326 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (12 papers), Stock Market Forecasting Methods (9 papers) and Advanced Graph Neural Networks (8 papers). The work is most often cited by research in Management Science and Operations Research (105 citations), Artificial Intelligence (154 citations) and Information Systems (100 citations). Chiao-Ting Chen has collaborated with scholars based in Taiwan. Frequent co-authors include Szu-Hao Huang, Chi Lee, Minyou Chen, Yuying Chen, Ju-Chun Huang, Wen-Chih Peng, Yi‐Cheng Huang and Peng Wen. Their work appears in journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Knowledge and Data Engineering.

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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