Chin-Chun Chang

824 total citations
49 papers, 566 citations indexed

About

Chin-Chun Chang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Water Science and Technology. According to data from OpenAlex, Chin-Chun Chang has authored 49 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 11 papers in Artificial Intelligence and 11 papers in Water Science and Technology. Recurrent topics in Chin-Chun Chang's work include Water Quality Monitoring Technologies (11 papers), Face and Expression Recognition (7 papers) and Video Surveillance and Tracking Methods (6 papers). Chin-Chun Chang is often cited by papers focused on Water Quality Monitoring Technologies (11 papers), Face and Expression Recognition (7 papers) and Video Surveillance and Tracking Methods (6 papers). Chin-Chun Chang collaborates with scholars based in Taiwan, Philippines and Netherlands. Chin-Chun Chang's co-authors include Shyi‐Chyi Cheng, Naomi A. Ubina, Deron Liang, Chien-Cheng Lin, Wen‐Hsiang Tsai, Yi‐Zeng Hsieh, Wei-Jen Wang, Shih-Syun Lin, Yen‐Po Wang and Bo‐Han Liao and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Chin-Chun Chang

46 papers receiving 546 citations

Peers

Chin-Chun Chang

WST

CVPR

Shyi‐Chyi Cheng Taiwan

Yonghui Wang China

Minghua Zhang China

Ayman Nabil Egypt

Wu-Chih Hu Taiwan

Yu Jiang China

Halis Altun Türkiye

Zahir Zainuddin Indonesia

Farmanullah Jan Pakistan

Shyi‐Chyi Cheng Taiwan

Chin-Chun Chang

237 ×1.4

WST

428 ×2.5

CVPR

72 ×1.0

18 ×0.3

41 ×0.7

Citations per year, relative to Chin-Chun Chang Chin-Chun Chang (= 1×) peers Shyi‐Chyi Cheng

Countries citing papers authored by Chin-Chun Chang

Since Specialization

Citations

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

Fields of papers citing papers by Chin-Chun Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chin-Chun Chang

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

All Works

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20 of 20 papers shown

Chang, Chin-Chun, et al.. (2024). Detecting Low-Yield Machines in Batch Production Systems Based on Observed Defective Pieces. IEEE Transactions on Systems Man and Cybernetics Systems. 54(7). 3972–3983.

Chang, Chin-Chun, et al.. (2024). SmartDetect: Safe Driving by Detecting Steering-Wheel Handling With a Single Smartwatch. IEEE Sensors Journal. 24(10). 16325–16335.

Ubina, Naomi A., et al.. (2023). Digital Twin-Based Intelligent Fish Farming with Artificial Intelligence Internet of Things (Aiot). SSRN Electronic Journal. 8 indexed citations

Chang, Chin-Chun, et al.. (2023). Multistage Parameter Optimization for Rule Generation for Multistage Manufacturing Processes. IEEE Transactions on Industrial Informatics. 20(3). 3857–3867. 1 indexed citations

Chang, Chin-Chun, et al.. (2022). A Two-Mode Underwater Smart Sensor Object for Precision Aquaculture Based on AIoT Technology. Sensors. 22(19). 7603–7603. 23 indexed citations

Chang, Chin-Chun, et al.. (2021). Prediction of per-batch yield rates in production based on maximum likelihood estimation of per-machine yield rates. Journal of Manufacturing Systems. 62. 249–262. 2 indexed citations

Ubina, Naomi A., et al.. (2021). Underwater 3D Object Reconstruction for Fish Length Estimation Using Convolutional Neural Networks. 1–2. 7 indexed citations

Ubina, Naomi A., et al.. (2021). Evaluating fish feeding intensity in aquaculture with convolutional neural networks. Aquacultural Engineering. 94. 102178–102178. 71 indexed citations

Chang, Chin-Chun, et al.. (2021). Design of a Feeding System for Cage Aquaculture Based on IoT and AI Technology. 1–2. 2 indexed citations

10.

Zhang, Peihua, et al.. (2020). Visual analysis of fish feeding intensity for smart feeding in aquaculture using deep learning. 69–69. 6 indexed citations

11.

Chang, Chin-Chun, et al.. (2019). An intelligent indoor positioning system based on pedestrian directional signage object detection: a case study of Taipei Main Station. Mathematical Biosciences & Engineering. 17(1). 266–285. 4 indexed citations

12.

Chang, Chin-Chun, et al.. (2018). Fencing Tactics Analysis in Broadcast Video: A Point-by-Point Analytical System. IEEE Transactions on Circuits and Systems for Video Technology. 29(7). 2162–2175. 2 indexed citations

13.

Chang, Chin-Chun & Bo‐Han Liao. (2017). Active learning based on minimization of the expected path-length of random walks on the learned manifold structure. Pattern Recognition. 71. 337–348. 10 indexed citations

14.

Liang, Deron, et al.. (2016). A novel driver identification method using wearables. 62. 1–5. 12 indexed citations

15.

Cheng, Shyi‐Chyi, et al.. (2015). Automatic liver segmentation from CT images using latent semantic indexing. 19. 1–6. 2 indexed citations

16.

Chang, Chin-Chun, et al.. (2015). Tuning of the hyperparameters for L2-loss SVMs with the RBF kernel by the maximum-margin principle and the jackknife technique. Pattern Recognition. 48(12). 3983–3992. 21 indexed citations

17.

Lin, Chien-Cheng, Chin-Chun Chang, & Deron Liang. (2015). An Approach for Authenticating Smartphone Users Based on Histogram Features. 125–130. 1 indexed citations

18.

Chang, Chin-Chun, et al.. (2010). Multiple Object Motion Detection for Robust Image Stabilization Using Block-Based Hough Transform. 51. 623–626. 4 indexed citations

19.

Chang, Chin-Chun, et al.. (2009). Content aware image segmentation for region-based object retrieval. 1–4. 3 indexed citations

20.

Chang, Chin-Chun. (2006). Deformable shape finding with models based on kernel methods. IEEE Transactions on Image Processing. 15(9). 2743–2754. 7 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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