Fang-Chih Tien

1.3k total citations · 1 hit paper
35 papers, 985 citations indexed

About

Fang-Chih Tien is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Fang-Chih Tien has authored 35 papers receiving a total of 985 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Industrial and Manufacturing Engineering, 14 papers in Computer Vision and Pattern Recognition and 8 papers in Computational Mechanics. Recurrent topics in Fang-Chih Tien's work include Industrial Vision Systems and Defect Detection (11 papers), Image and Object Detection Techniques (6 papers) and Advanced Measurement and Metrology Techniques (5 papers). Fang-Chih Tien is often cited by papers focused on Industrial Vision Systems and Defect Detection (11 papers), Image and Object Detection Techniques (6 papers) and Advanced Measurement and Metrology Techniques (5 papers). Fang-Chih Tien collaborates with scholars based in Taiwan, United States and Australia. Fang-Chih Tien's co-authors include R.J. Kuo, Yu-Cheng Wang, Zhenyao Chen, T. Warren Liao, Tao Sun, Chun-Chin Hsu, Ferani E. Zulvia, Po-Chou Shih, Wei-Cheng Tseng and Chun‐Ming Chang and has published in prestigious journals such as Journal of Cleaner Production, Expert Systems with Applications and Information Sciences.

In The Last Decade

Fang-Chih Tien

34 papers receiving 927 citations

Hit Papers

Integration of artificial neural network and MADA methods... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers

Fang-Chih Tien
Comparison fields: 5 of 87
  • Strategy and Management 413
  • Management Science and Operations Research 352
  • Industrial and Manufacturing Engineering 174
  • Management Information Systems 162
  • Artificial Intelligence 135
Replace Z.H. Che with:
Z.H. Che Taiwan
Qinghua Wu China
Nursel Öztürk Türkiye
Ue‐Pyng Wen Taiwan
René V. Mayorga Canada
Christine L. Mumford United Kingdom
Lei Fang China
Roberto Rossi Italy
Sarah Qahtan Iraq
Z.H. Che Taiwan View profile →
Citations per field, relative to Fang-Chih Tien
Fang-Chih Tien · 1×
Citations per year, relative to Fang-Chih Tien
Fang-Chih Tien · 1×

Countries citing papers authored by Fang-Chih Tien

Since Specialization
Citations

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

Fields of papers citing papers by Fang-Chih Tien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fang-Chih Tien. 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 Fang-Chih Tien. The network helps show where Fang-Chih Tien may publish in the future.

Co-authorship network of co-authors of Fang-Chih Tien

This figure shows the co-authorship network connecting the top 25 collaborators of Fang-Chih Tien. A scholar is included among the top collaborators of Fang-Chih Tien 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 Fang-Chih Tien. Fang-Chih Tien 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
# Work Indexed citations
1 2
2 3
3 9
4 26
5 19
6 6
7 2
8
Integration of artificial neural network and MADA methods for green supplier selection breakdown →
524
9 2
10 0
11 2
12 16
13 4
14 7
15 2
16 2
17 7
18 2
19 1
20 11

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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