Zhensong Chen

877 citations
21 papers · 580 indexed · h-index 12
Topics
Stock Market Forecasting Methods (11 papers)Energy Load and Power Forecasting (8 papers)Imbalanced Data Classification Techniques (4 papers)
Partner nations
ChinaUnited States

In The Last Decade

Zhensong Chen

20 papers receiving 563 citations

Peers

Zhensong Chen
Comparison fields: 5 of 82
  • Management Science and Operations Research 311
  • Artificial Intelligence 187
  • Electrical and Electronic Engineering 175
  • Economics and Econometrics 136
  • Finance 111
Replace Hsiao-Fen Hsiao with:
Hsiao-Fen Hsiao China
Erkam Güreşen Türkiye
Rodolfo C. Cavalcante Brazil
Jarley P. Nóbrega Brazil
Kinjal Chaudhari India
Dirk-Emma Baestaens Belgium
Fangzhou Yang China
Saman Haratizadeh Iran
João Garcia Belgium
Tai-Liang Chen Taiwan
Zhensong Chen relative to Hsiao-Fen Hsiao China Hsiao-Fen Hsiao's profile →
Citations per field
00.5×4.7×
Hsiao-Fen Hsiao · 1×
Citations per year

Countries citing papers authored by Zhensong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Zhensong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhensong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Zhensong Chen. A scholar is included among the top collaborators of Zhensong 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 Zhensong Chen. Zhensong 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 1
3 6
4 1
5 20
6 16
7 13
8 38
9 9
10 11
11 9
12 19
13 27
14 185
15 42
16 79
17 5
18 49
19 10
20 35

About Zhensong Chen

Zhensong Chen is a scholar working on Management Science and Operations Research, Finance and Artificial Intelligence, having authored 21 papers that have together received 580 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (11 papers), Energy Load and Power Forecasting (8 papers) and Imbalanced Data Classification Techniques (4 papers). The work is most often cited by research in Management Science and Operations Research (311 citations), Finance (111 citations) and Artificial Intelligence (187 citations). Zhensong Chen has collaborated with scholars based in China and United States. Frequent co-authors include Manrui Jiang, Wei Chen, Wei-Guo Zhang, Yong Shi, Lifen Jia, Yue Qiu, Zhewei Song, Yi Qu, Huilin Xu and Zhiquan Qi. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and Pattern Recognition.

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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