I‐Fang Chung

3.4k total citations
84 papers, 2.1k citations indexed

About

I‐Fang Chung is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, I‐Fang Chung has authored 84 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 26 papers in Artificial Intelligence and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in I‐Fang Chung's work include Fuzzy Logic and Control Systems (16 papers), Neural Networks and Applications (11 papers) and Gene expression and cancer classification (8 papers). I‐Fang Chung is often cited by papers focused on Fuzzy Logic and Control Systems (16 papers), Neural Networks and Applications (11 papers) and Gene expression and cancer classification (8 papers). I‐Fang Chung collaborates with scholars based in Taiwan, United States and India. I‐Fang Chung's co-authors include Chin‐Teng Lin, Nikhil R. Pal, Wei‐Chung Cheng, Hsei–Wei Wang, Chen‐Yang Chen, Sheng‐Fu Liang, Chien‐Hung Liao, Chi‐Tung Cheng, Li‐Wei Ko and Yi-Cheng Chen and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Bioinformatics.

In The Last Decade

I‐Fang Chung

82 papers receiving 2.1k citations

Peers

I‐Fang Chung
Comparison fields: 5 of 153
  • Molecular Biology 744
  • Artificial Intelligence 430
  • Cancer Research 322
  • Biomedical Engineering 244
  • Radiology, Nuclear Medicine and Imaging 206
Replace Julian M.W. Quinn with:
Julian M.W. Quinn Australia
Xi Ouyang China
Martti Juhola Finland
Sudipta Roy India
Saurav Mallik India
Jingjing Gao China
Markus Reischl Germany
Hamid Alinejad‐Rokny Australia
Shu Wang China
Jing Han China
Julian M.W. Quinn Australia View profile →
Citations per field, relative to I‐Fang Chung
I‐Fang Chung · 1×
Citations per year, relative to I‐Fang Chung
I‐Fang Chung · 1×

Countries citing papers authored by I‐Fang Chung

Since Specialization
Citations

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

Fields of papers citing papers by I‐Fang Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I‐Fang Chung. 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 I‐Fang Chung. The network helps show where I‐Fang Chung may publish in the future.

Co-authorship network of co-authors of I‐Fang Chung

This figure shows the co-authorship network connecting the top 25 collaborators of I‐Fang Chung. A scholar is included among the top collaborators of I‐Fang Chung 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 I‐Fang Chung. I‐Fang Chung 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 1
2 2
3 5
4 10
5 2
6 2
7 24
8 224
9 4
10 40
11 76
12 15
13 1
14
Still Seeking for an “Iron Bowl”? Pre-service Teachers’ Journeys of Career Choice in Taiwan
11
15 18
16
Dynamic system identification using a Type-2 Recurrent Fuzzy Neural Network
2
17 2
18 3
19 4
20 36

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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