Hsiao-Te Chang

471 total citations
10 papers, 334 citations indexed

About

Hsiao-Te Chang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Hsiao-Te Chang has authored 10 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Control and Systems Engineering. Recurrent topics in Hsiao-Te Chang's work include Neural Networks and Applications (8 papers), Face and Expression Recognition (5 papers) and Advanced Algorithms and Applications (2 papers). Hsiao-Te Chang is often cited by papers focused on Neural Networks and Applications (8 papers), Face and Expression Recognition (5 papers) and Advanced Algorithms and Applications (2 papers). Hsiao-Te Chang collaborates with scholars based in Taiwan. Hsiao-Te Chang's co-authors include Mu‐Chun Su, Jen‐Jia Lin, Mu-Chun Su, Ta‐Kang Liu and Chien-Hsing Chou and has published in prestigious journals such as Fuzzy Sets and Systems, Urban Studies and Neural Processing Letters.

In The Last Decade

Hsiao-Te Chang

9 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hsiao-Te Chang Taiwan	8	157	96	94	39	27	10	334
Sara Manzoni Italy	9	82 0.5×	40 0.4×	53 0.6×	59 1.5×	23 0.9×	64	328
Leon Kester Netherlands	9	106 0.7×	29 0.3×	47 0.5×	107 2.7×	15 0.6×	56	314
Kashif Zia Oman	9	30 0.2×	75 0.8×	87 0.9×	43 1.1×	21 0.8×	63	324
Douglas McIlwraith United Kingdom	7	44 0.3×	75 0.8×	95 1.0×	44 1.1×	10 0.4×	15	315
Matteo Anedda Italy	15	42 0.3×	118 1.2×	22 0.2×	39 1.0×	56 2.1×	46	525
Mauro Fadda Italy	17	35 0.2×	75 0.8×	20 0.2×	27 0.7×	12 0.4×	60	660
Jesús L. Lobo Spain	8	136 0.9×	23 0.2×	35 0.4×	53 1.4×	6 0.2×	26	318
Yanli Shao China	10	76 0.5×	78 0.8×	16 0.2×	27 0.7×	7 0.3×	34	297
Roozbeh Jalali Canada	7	67 0.4×	182 1.9×	59 0.6×	7 0.2×	4 0.1×	11	376

Countries citing papers authored by Hsiao-Te Chang

Since Specialization

Citations

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

Fields of papers citing papers by Hsiao-Te Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsiao-Te Chang. 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 Hsiao-Te Chang. The network helps show where Hsiao-Te Chang may publish in the future.

Co-authorship network of co-authors of Hsiao-Te Chang

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Lin, Jen‐Jia & Hsiao-Te Chang. (2009). Built Environment Effects on Children’s School Travel in Taipai: Independence and Travel Mode. Urban Studies. 47(4). 867–889. 101 indexed citations

2.

Liu, Ta‐Kang, et al.. (2003). An efficient initialization scheme for the self-organizing feature map algorithm. 3. 1906–1910. 17 indexed citations

3.

Su, Mu‐Chun, et al.. (2002). A static hand gesture recognition system using a composite neural network. Proceedings of IEEE 5th International Fuzzy Systems. 2. 786–792. 25 indexed citations

4.

Su, Mu‐Chun, Hsiao-Te Chang, & Chien-Hsing Chou. (2002). A Novel Measure for Quantifying the Topology Preservation of Self-Organizing Feature Maps. Neural Processing Letters. 15(2). 137–145. 14 indexed citations

5.

Su, Mu‐Chun & Hsiao-Te Chang. (2002). Genetic-algorithms-based approach to self-organizing feature map and its application in cluster analysis. 1. 735–740. 7 indexed citations

6.

Su, Mu-Chun & Hsiao-Te Chang. (2001). A new model of self-organizing neural networks and its application in data projection. IEEE Transactions on Neural Networks. 12(1). 153–158. 62 indexed citations

7.

Su, Mu‐Chun & Hsiao-Te Chang. (2000). Fast self-organizing feature map algorithm. IEEE Transactions on Neural Networks. 11(3). 721–733. 74 indexed citations

8.

Su, Mu‐Chun, Chien-Hsing Chou, & Hsiao-Te Chang. (2000). Adding a healing mechanism in the self-organizing feature map algorithm. e76. 171–176 vol.6. 1 indexed citations

9.

Su, Mu‐Chun & Hsiao-Te Chang. (2000). Application of neural networks incorporated with real-valued genetic algorithms in knowledge acquisition. Fuzzy Sets and Systems. 112(1). 85–97. 30 indexed citations

10.

Su, Mu‐Chun & Hsiao-Te Chang. (1998). Extracting Rules from Composite Neural Networks for Medical Diagnostic Problems. Neural Processing Letters. 8(3). 253–263. 3 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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