Hsin-Chia Fu

1.5k total citations
44 papers, 1.1k citations indexed

About

Hsin-Chia Fu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Hsin-Chia Fu has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 21 papers in Artificial Intelligence and 13 papers in Signal Processing. Recurrent topics in Hsin-Chia Fu's work include Neural Networks and Applications (11 papers), Image Retrieval and Classification Techniques (7 papers) and Energy, Environment, Economic Growth (6 papers). Hsin-Chia Fu is often cited by papers focused on Neural Networks and Applications (11 papers), Image Retrieval and Classification Techniques (7 papers) and Energy, Environment, Economic Growth (6 papers). Hsin-Chia Fu collaborates with scholars based in Taiwan, China and United States. Hsin-Chia Fu's co-authors include Hsiao-Tien Pao, Cheng-Lung Tseng, Cheng‐Chin Chiang, Shih-Sian Cheng, Hsin‐Min Wang, Yiying Li, Shih‐Ching Chuang, Po‐Ting Lai, Hsiao–Cheng Yu and Wen‐Liang Hung and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and IEEE Transactions on Signal Processing.

In The Last Decade

Hsin-Chia Fu

41 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hsin-Chia Fu Taiwan 14 635 449 278 266 184 44 1.1k
Qiang Tu China 13 298 0.5× 150 0.3× 98 0.4× 112 0.4× 245 1.3× 27 870
Yi Liang China 17 175 0.3× 118 0.3× 53 0.2× 196 0.7× 249 1.4× 65 1.2k
Ioannis P. Panapakidis Greece 18 101 0.2× 216 0.5× 111 0.4× 95 0.4× 217 1.2× 78 1.4k
Chia-Yon Chen Taiwan 12 182 0.3× 125 0.3× 45 0.2× 159 0.6× 143 0.8× 24 967
Lu‐Tao Zhao China 18 502 0.8× 229 0.5× 35 0.1× 142 0.5× 44 0.2× 67 865
Ling Xie China 13 187 0.3× 69 0.2× 24 0.1× 128 0.5× 291 1.6× 29 836
Xianyu Yu China 16 242 0.4× 125 0.3× 34 0.1× 118 0.4× 27 0.1× 49 727

Countries citing papers authored by Hsin-Chia Fu

Since Specialization
Citations

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

Fields of papers citing papers by Hsin-Chia Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin-Chia Fu. 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 Hsin-Chia Fu. The network helps show where Hsin-Chia Fu may publish in the future.

Co-authorship network of co-authors of Hsin-Chia Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Hsin-Chia Fu. A scholar is included among the top collaborators of Hsin-Chia Fu 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 Hsin-Chia Fu. Hsin-Chia Fu 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
1.
Pao, Hsiao-Tien, Yiying Li, & Hsin-Chia Fu. (2014). Causality Relationship between Energy Consumption and Economic Growth in Brazil. Smart Grid and Renewable Energy. 5(8). 198–205. 20 indexed citations
2.
Fu, Hsin-Chia, et al.. (2013). Interactive Video Platform for E-learning and Remote services.
3.
Pao, Hsiao-Tien, Hsin-Chia Fu, & Cheng-Lung Tseng. (2012). Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model. Energy. 40(1). 400–409. 310 indexed citations
4.
Young, Kuu‐Young, et al.. (2010). Learning by demonstration for tool-handling task. Society of Instrument and Control Engineers of Japan. 459–464.
5.
Cheng, Shih-Sian, Hsin-Chia Fu, & Hsin‐Min Wang. (2009). Model-Based Clustering by Probabilistic Self-Organizing Maps. IEEE Transactions on Neural Networks. 20(5). 805–826. 23 indexed citations
6.
Fu, Hsin-Chia, et al.. (2009). A polygon description based similarity measurement of stock market behavior. Expert Systems with Applications. 37(2). 1113–1123. 5 indexed citations
7.
Fu, Hsin-Chia, et al.. (2007). A polygon description based similarity measurement of stock market behavior. 806–812. 2 indexed citations
8.
Pao, Hsiao-Tien, et al.. (2007). An EM based multiple instance learning method for image classification. Expert Systems with Applications. 35(3). 1468–1472. 24 indexed citations
9.
Cheng, Shih-Sian, et al.. (2006). A Prototypes-Embedded Genetic K-means Algorithm. 11. 724–727. 12 indexed citations
10.
Tseng, Cheng-Lung, et al.. (2005). Multimedia TV news browsing system. 317–318. 1 indexed citations
11.
Cheng, Shih-Sian, Hsin-Chia Fu, & Hsin‐Min Wang. (2004). A Model-Selection-Based Self-Splitting Gaussian Mixture Learning with Application to Speaker Identification. SHILAP Revista de lepidopterología.
12.
Cheng, Shih-Sian, Hsin‐Min Wang, & Hsin-Chia Fu. (2004). A Model-Selection-Based Self-Splitting Gaussian Mixture Learning with Application to Speaker Identification. EURASIP Journal on Advances in Signal Processing. 2004(17). 9 indexed citations
13.
Fu, Hsin-Chia, et al.. (2001). Divide-and-conquer learning and modular perceptron networks. IEEE Transactions on Neural Networks. 12(2). 250–263. 36 indexed citations
14.
Pao, Hsiao-Tien, et al.. (2000). User adaptive handwriting recognition by self-growing probabilistic decision-based neural networks. IEEE Transactions on Neural Networks. 11(6). 1373–1384. 19 indexed citations
15.
Fu, Hsin-Chia, et al.. (1999). RECOGNITION OF HANDWRITTEN SIMILAR CHINESE CHARACTERS BY SELF-GROWING PROBABILISTIC DECISION-BASED NEURAL NETWORK. International Journal of Neural Systems. 9(6). 545–561. 3 indexed citations
16.
Fu, Hsin-Chia. (1995). Feature-preserving thinning algorithm for optical character recognition. Journal of Electronic Imaging. 4(3). 298–298. 1 indexed citations
17.
Chiang, Cheng‐Chin & Hsin-Chia Fu. (1994). Using multithreshold quadratic sigmoidal neurons to improve classification capability of multilayer perceptrons. IEEE Transactions on Neural Networks. 5(3). 516–519. 4 indexed citations
18.
Chiang, Cheng‐Chin & Hsin-Chia Fu. (1994). ON THE CLASSIFICATION CAPABILITY OF A DYNAMIC THRESHOLD NEURAL NETWORK. International Journal of Neural Systems. 5(2). 103–114. 1 indexed citations
19.
Chiang, Cheng‐Chin, et al.. (1993). <title>Feature-preserving thinning algorithm for optical character recognition</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1906. 279–290. 2 indexed citations
20.
Chiang, Cheng‐Chin & Hsin-Chia Fu. (1992). On the Capability of a New Multilayer Perceptron for Two-Class Classification Problems.. Journal of information science and engineering. 8. 567–585. 1 indexed citations

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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