Chung-Chi Chen

733 citations
76 papers · 412 indexed · h-index 12
Topics
Topic Modeling (20 papers)Stock Market Forecasting Methods (17 papers)Advanced Text Analysis Techniques (15 papers)
Journals
SHILAP Revista de lepidopterologíaApplied Physics LettersOptics Express
Partner nations
TaiwanChinaJapan

In The Last Decade

Chung-Chi Chen

63 papers receiving 378 citations

Peers

Chung-Chi Chen
Comparison fields: 5 of 67
  • Artificial Intelligence 173
  • Management Science and Operations Research 82
  • Mechanical Engineering 71
  • Electrical and Electronic Engineering 63
  • Mechanics of Materials 50
Replace Yajie Dou with:
Yajie Dou China
Xiaolong Xie China
Emilio Del-Moral-Hernandez Brazil
Mustafa Abdul Salam Egypt
Haoming Jiang United States
Irina Trubitsyna Italy
Shanshan Huang China
Wei‐Lun Chen Taiwan
Peng Du China
Chung-Chi Chen relative to Yajie Dou China Yajie Dou's profile →
Citations per field
00.5×5.4×
Yajie Dou · 1×
Citations per year

Countries citing papers authored by Chung-Chi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chung-Chi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chung-Chi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chung-Chi Chen. A scholar is included among the top collaborators of Chung-Chi 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 Chung-Chi Chen. Chung-Chi 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 1
4 0
5 2
6 2
7 1
8 2
9 1
10 6
11 6
12 4
13
Evaluating the Rationales of Retail Investors
0
14 6
15
9789811628818.pdf
11
16 22
17
Issues and Perspectives from 10, 000 Annotated Financial Social Media Data.
8
18
Fine-grained Opinion Mining in Financial Data: A Survey and Research Agenda
0
19 25
20 5

About Chung-Chi Chen

Chung-Chi Chen is a scholar working on Management Science and Operations Research, Artificial Intelligence and Management Information Systems, having authored 76 papers that have together received 412 indexed citations. Recurring topics across this work include Topic Modeling (20 papers), Stock Market Forecasting Methods (17 papers) and Advanced Text Analysis Techniques (15 papers). The work is most often cited by research in Management Science and Operations Research (82 citations), Artificial Intelligence (173 citations) and Mechanics of Materials (50 citations). Chung-Chi Chen has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Hen‐Hsen Huang, Hsin‐Hsi Chen, Zhifeng Tang, F. Thibault, Jyh‐Cheng Yu, Hiroya Takamura, Hai Huang, Ting-Wei Hsu, Bohr‐Ran Huang and Shyankay Jou. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Optics Express.

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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