Chao-Lung Yang

936 citations
57 papers · 628 · h-index 13

Impact in

    • Vehicle Routing Optimization Methods
    • Advanced Manufacturing and Logistics Optimization
    • Industrial Vision Systems and Defect Detection
    • Anomaly Detection Techniques and Applications
    • Metaheuristic Optimization Algorithms Research
    • Advanced Clustering Algorithms Research

Papers in

Chao-Lung Yang

49 papers receiving 609 citations

Peers

Chao-Lung Yang
Comparison fields: 5 of 100
  • Industrial and Manufacturing Engineering 143
  • Artificial Intelligence 206
  • Signal Processing 68
  • Computer Vision and Pattern Recognition 121
  • Management Science and Operations Research 47
Replace P Kumar with:
P Kumar India
Chuanxin Zhao China
T.H. Lee Singapore
Abolfazl Toroghi Haghighat Iran
Liviu Miclea Romania
Tayfun Küçükyılmaz Türkiye
Yang Yu China
Hee Yong Youn South Korea
Ronay Ak United States
D. Binu India
Chao-Lung Yang relative to P Kumar India P Kumar's profile →
Citations per field
00.5×3.5×
P Kumar · 1×
Citations per year

Countries citing papers authored by Chao-Lung Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chao-Lung Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chao-Lung Yang. 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 Chao-Lung Yang. The network helps show where Chao-Lung Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019116
2 201689
3 201940
4 201537
5 200527
6 201625
7 202321
8 201721
9 201619
10 202016
11 201716
12 202015
13 201814
14 202212
15 201911
16 201811
17 202210
18 20219
19 20169
20 20168

About Chao-Lung Yang

Chao-Lung Yang is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering and Signal Processing, having authored 57 papers that have together received 628 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (9 papers), Human Pose and Action Recognition (8 papers), Industrial Vision Systems and Defect Detection (8 papers), Time Series Analysis and Forecasting (6 papers), Vehicle Routing Optimization Methods (5 papers), Advanced Statistical Process Monitoring (5 papers), Hand Gesture Recognition Systems (4 papers) and Advanced Manufacturing and Logistics Optimization (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (143 citations), Artificial Intelligence (206 citations), Signal Processing (68 citations), Computer Vision and Pattern Recognition (121 citations) and Management Science and Operations Research (47 citations). Chao-Lung Yang has collaborated with scholars based in Taiwan, Indonesia and Ethiopia. Frequent co-authors include Zhixuan Chen, Vincent F. Yu, Anak Agung Ngurah Perwira Redi, Budi Santosa, Kai‐Lung Hua, Nai‐Wei Lo, R.J. Kuo, James C. Chen, Tzu‐Chuan Chou and Shyi‐Chyi Cheng. Their work appears in journals such as Applied Soft Computing, Sensors, Applied Intelligence, Expert Systems with Applications and Multimedia Tools and Applications.

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.

Explore authors with similar magnitude of impact