Chun-Sung Ferng

1.0k total citations
12 papers, 121 citations indexed

About

Chun-Sung Ferng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Civil and Structural Engineering. According to data from OpenAlex, Chun-Sung Ferng has authored 12 papers receiving a total of 121 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Civil and Structural Engineering. Recurrent topics in Chun-Sung Ferng's work include Machine Learning and Data Classification (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Machine Learning and Algorithms (3 papers). Chun-Sung Ferng is often cited by papers focused on Machine Learning and Data Classification (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Machine Learning and Algorithms (3 papers). Chun-Sung Ferng collaborates with scholars based in Taiwan, United States and Switzerland. Chun-Sung Ferng's co-authors include Hsuan-Tien Lin, Chunliang Li, Srinadh Bhojanapalli, Yin-Wen Chang, Hyung Won Chung, Henry Tsai, Tsai‐Fu Wu, Da-Cheng Juan, Andrew Tomkins and Allan Heydon and has published in prestigious journals such as Neural Computation, IEEE Transactions on Neural Networks and Learning Systems and Acta Mechanica.

In The Last Decade

Chun-Sung Ferng

12 papers receiving 115 citations

Peers

Countries citing papers authored by Chun-Sung Ferng

Since Specialization

Citations

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

Fields of papers citing papers by Chun-Sung Ferng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun-Sung Ferng. 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 Chun-Sung Ferng. The network helps show where Chun-Sung Ferng may publish in the future.

Co-authorship network of co-authors of Chun-Sung Ferng

This figure shows the co-authorship network connecting the top 25 collaborators of Chun-Sung Ferng. A scholar is included among the top collaborators of Chun-Sung Ferng 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 Chun-Sung Ferng. Chun-Sung Ferng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

#	Work	Indexed citations
1	Demystifying the Better Performance of Position Encoding Variants for Transformer 2021 ·arXiv (Cornell University) ·(unknown), Henry Tsai, Srinadh Bhojanapalli, Hyung Won Chung, Yin-Wen Chang, Chun-Sung Ferng	4
2	A Simple and Effective Positional Encoding for Transformers 2021 ·Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·(unknown), Henry Tsai, Srinadh Bhojanapalli, Hyung Won Chung, Yin-Wen Chang, Chun-Sung Ferng	33
3	Neural Structured Learning: Training Neural Networks with Structured Signals 2021 ·(unknown), Da-Cheng Juan, (unknown), Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, (unknown), (unknown), Yueqi Wang	8
4	Adversarial Robustness Across Representation Spaces 2021 ·Pranjal Awasthi, (unknown), Chun-Sung Ferng, Andrew Tomkins, Da-Cheng Juan	4
5	Neural Structured Learning 2020 ·(unknown), Da-Cheng Juan, (unknown), Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, (unknown)	1
6	Active Learning Using Hint Information 2015 ·Neural Computation ·Chunliang Li, Chun-Sung Ferng, Hsuan-Tien Lin	10
7	Multilabel Classification Using Error-Correcting Codes of Hard or Soft Bits 2013 ·IEEE Transactions on Neural Networks and Learning Systems ·Chun-Sung Ferng, Hsuan-Tien Lin	12
8	Active Learning with Hinted Support Vector Machine 2012 ·Asian Conference on Machine Learning ·Chunliang Li, Chun-Sung Ferng, Hsuan-Tien Lin	11
9	A Two-Stage Ensemble of Diverse Models for Advertisement Ranking in KDD Cup 2012 2012 ·(unknown), Chun-Sung Ferng, Chia-Hua Ho, (unknown), (unknown), (unknown), Jyun‐Yu Jiang, (unknown), (unknown), Ching-pei Lee, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Wei‐Lun Huang, (unknown), (unknown), He Yang	18
10	An ensemble of three classifiers for KDD cup 2009: expanded linear model, heterogeneous boosting, and selective naïve Bayes 2009 ·Knowledge Discovery and Data Mining ·Hung-Yi Lo, Kai‐Wei Chang, Shang-Tse Chen, Tsung‐Hsien Chiang, Chun-Sung Ferng, Cho‐Jui Hsieh, (unknown), Tsung-Ting Kuo, (unknown), (unknown), (unknown), Hsiang‐Fu Yu, Chih‐Jen Lin, Hsuan-Tien Lin, Shou-De Lin	11
11	Canonical image selection and efficient image graph construction for large-scale flickr photos 2009 ·(unknown), Kuan‐Ting Chen, (unknown), Yi‐Hsuan Yang, (unknown), Chun-Sung Ferng, (unknown), (unknown), Winston H. Hsu	3
12	Effect of nonuniform conduit section on waterhammer 1999 ·Acta Mechanica ·Tsai‐Fu Wu, Chun-Sung Ferng	6

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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