Yingjun Chen

498 citations
9 papers · 352 · 1 hit paper · h-index 5

Impact in

Papers in

Yingjun Chen

9 papers receiving 338 citations

Yingjun Chen's Hit Papers

A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction 2017 · 263 citations
2630+3+6Years since publication50100150200250

Peers

Yingjun Chen
Comparison fields: 5 of 70
  • Management Science and Operations Research 244
  • Finance 72
  • Economics and Econometrics 105
  • Signal Processing 34
  • Artificial Intelligence 64
Replace Ehsan Hoseinzade with:
Ehsan Hoseinzade Iran
Akhter Mohiuddin Rather India
S. Al Wadi Jordan
Rui Ren China
Rudra Kalyan Nayak India
Gourav Kumar India
Xiongwen Pang China
Yuping Song China
Eunsuk Chong South Korea
Yingjun Chen relative to Ehsan Hoseinzade Iran Ehsan Hoseinzade's profile →
Citations per field
00.5×6.2×
Ehsan Hoseinzade · 1×
Citations per year

Countries citing papers authored by Yingjun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yingjun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Yingjun Chen, 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 Yingjun Chen Line = papers co-authored together Yingjun Chen links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown

About Yingjun Chen

Yingjun Chen is a scholar working on Management Science and Operations Research, Economics and Econometrics, Molecular Biology, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 9 papers that have together received 352 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (5 papers), Forecasting Techniques and Applications (3 papers), Complex Systems and Time Series Analysis (3 papers), Machine Learning in Materials Science (1 paper), Time Series Analysis and Forecasting (1 paper), Context-Aware Activity Recognition Systems (1 paper), Financial Markets and Investment Strategies (1 paper) and Protein Structure and Dynamics (1 paper). The work is most often cited by research in Management Science and Operations Research (244 citations), Finance (72 citations), Economics and Econometrics (105 citations), Signal Processing (34 citations) and Artificial Intelligence (64 citations). Yingjun Chen has collaborated with scholars based in China, Germany and Taiwan. Frequent co-authors include Yongtao Hao, Sok‐Ian Sou, Zhigang Zhu, Fang–Jing Wu and Weiwei Xue. Their work appears in journals such as IEEE Access, Soft Computing, Neurocomputing, Expert Systems with Applications and Journal of Computer-Aided Molecular Design.

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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