Chi-Jie Lu

4.0k citations
102 papers · 3.0k indexed · 1 hit paper · h-index 30

Impact in

Papers in

Chi-Jie Lu

98 papers receiving 2.8k citations

Hit Papers

Financial time series forecasting using independent component analysis and support vector regression 2009 · 394 citations
3942009202620142020100200300

Peers

Chi-Jie Lu
Comparison fields: 5 of 162
  • Management Science and Operations Research 1.0k
  • Industrial and Manufacturing Engineering 385
  • Statistics, Probability and Uncertainty 206
  • Health Information Management 126
  • Artificial Intelligence 796
Replace Yong Hu with:
Yong Hu China
Lean Yu China
Pei‐Chann Chang Taiwan
Sebastián Maldonado Chile
Wing W. Y. Ng China
Tian‐Shyug Lee Taiwan
İ.B. Türkşen Canada
Luca Oneto Italy
Vicente García Mexico
I‐Cheng Yeh Taiwan
Chi-Jie Lu relative to Yong Hu China Yong Hu's profile →
Citations per field
00.5×3.3×
Yong Hu · 1×
Citations per year

Countries citing papers authored by Chi-Jie Lu

Since Specialization
Citations

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

Fields of papers citing papers by Chi-Jie Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chi-Jie Lu, 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 Chi-Jie Lu Line = papers co-authored together Chi-Jie Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
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16 201754
17 201410
18 201010
19
Application research of consumer credit Score model based on SVM and DEA
20091
20
Combining ICA and SVR in Times Series Predication
20091

About Chi-Jie Lu

Chi-Jie Lu is a scholar working on Management Science and Operations Research, Signal Processing, Analytical Chemistry, Statistics, Probability and Uncertainty and Artificial Intelligence, having authored 102 papers that have together received 3.0k indexed citations. Recurring topics across this work include Blind Source Separation Techniques (18 papers), Stock Market Forecasting Methods (18 papers), Neural Networks and Applications (17 papers), Spectroscopy and Chemometric Analyses (16 papers), Fault Detection and Control Systems (11 papers), Energy Load and Power Forecasting (11 papers), Advanced Statistical Process Monitoring (11 papers) and Sustainable Supply Chain Management (9 papers). The work is most often cited by research in Management Science and Operations Research (1.0k citations), Industrial and Manufacturing Engineering (385 citations), Statistics, Probability and Uncertainty (206 citations), Health Information Management (126 citations) and Artificial Intelligence (796 citations). Chi-Jie Lu has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Tian‐Shyug Lee, Chih‐Chou Chiu, Du‐Ming Tsai, I-Fei Chen, Ling‐Jing Kao, Yuehjen E. Shao, Chi‐Chang Chang, Chih-Te Yang, Jui-Yu Wu and Gin‐Den Chen. Their work appears in journals such as International Journal of Environmental Research and Public Health, Expert Systems with Applications, Neural Computing and Applications, Neurocomputing and Journal of Personalized Medicine.

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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