Bao Rong Chang

937 total citations
113 papers, 612 citations indexed

About

Bao Rong Chang is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Bao Rong Chang has authored 113 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 32 papers in Management Science and Operations Research and 29 papers in Computer Networks and Communications. Recurrent topics in Bao Rong Chang's work include Neural Networks and Applications (24 papers), Stock Market Forecasting Methods (23 papers) and Cloud Computing and Resource Management (18 papers). Bao Rong Chang is often cited by papers focused on Neural Networks and Applications (24 papers), Stock Market Forecasting Methods (23 papers) and Cloud Computing and Resource Management (18 papers). Bao Rong Chang collaborates with scholars based in Taiwan, United States and China. Bao Rong Chang's co-authors include Chung-Ping Young, Chien‐Feng Huang, Chia‐Yen Chen, Chi-Ming Chen, Po-Sen Huang, Chih‐Hsiang Chang, Chia‐Wei Hsieh, Chi‐Chung Chen, Mustafa M. Aral and Chia‐Hung Yeh and has published in prestigious journals such as Expert Systems with Applications, Fuzzy Sets and Systems and Neurocomputing.

In The Last Decade

Bao Rong Chang

102 papers receiving 572 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bao Rong Chang Taiwan 13 147 141 130 114 108 113 612
David Salinas United States 15 302 2.1× 245 1.7× 131 1.0× 58 0.5× 65 0.6× 39 912
Nikolay Laptev United States 11 130 0.9× 492 3.5× 105 0.8× 323 2.8× 114 1.1× 28 963
Ting-Cheng Chang China 10 103 0.7× 93 0.7× 103 0.8× 65 0.6× 79 0.7× 58 512
Syama Sundar Rangapuram Germany 11 259 1.8× 245 1.7× 152 1.2× 39 0.3× 42 0.4× 15 746
Germano C. Vasconcelos Brazil 11 122 0.8× 233 1.7× 113 0.9× 212 1.9× 26 0.2× 48 638
Weiqing Liu China 13 246 1.7× 275 2.0× 119 0.9× 78 0.7× 88 0.8× 32 761
Subrota Kumar Mondal Macao 10 66 0.4× 258 1.8× 53 0.4× 124 1.1× 188 1.7× 34 664
Tsung-Jung Hsieh Taiwan 14 235 1.6× 271 1.9× 193 1.5× 36 0.3× 21 0.2× 30 951

Countries citing papers authored by Bao Rong Chang

Since Specialization
Citations

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

Fields of papers citing papers by Bao Rong Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bao Rong 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 Bao Rong Chang. The network helps show where Bao Rong Chang may publish in the future.

Co-authorship network of co-authors of Bao Rong Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Bao Rong Chang. A scholar is included among the top collaborators of Bao Rong 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 Bao Rong Chang. Bao Rong Chang 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.
Chang, Bao Rong, et al.. (2025). Implementing High-Speed Object Detection and Steering Angle Prediction for Self-Driving Control. Electronics. 14(9). 1874–1874. 1 indexed citations
2.
3.
Chang, Bao Rong, et al.. (2024). Detection and Prediction of Probe Mark Damage in Wafer Testing. Electronics. 13(20). 4075–4075. 1 indexed citations
4.
Chang, Bao Rong, et al.. (2024). Self-Adaptive Server Anomaly Detection Using Ensemble Meta-Reinforcement Learning. Electronics. 13(12). 2348–2348. 4 indexed citations
5.
Chang, Bao Rong, et al.. (2024). Accelerating Die Bond Quality Detection Using Lightweight Architecture DSGβSI-Yolov7-Tiny. Electronics. 13(22). 4573–4573.
6.
Chang, Bao Rong, et al.. (2024). Ensemble Meta-Learning-Based Robust Chipping Prediction for Wafer Dicing. Electronics. 13(10). 1802–1802. 2 indexed citations
7.
Chang, Bao Rong, et al.. (2023). Location and timestamp-based chip contour detection using LWMG-YOLOv5. Computers & Industrial Engineering. 180. 109277–109277. 10 indexed citations
8.
Chang, Bao Rong, et al.. (2023). Chip contour detection and recognition based on deep-learning approaches. 22–30. 1 indexed citations
9.
Chang, Bao Rong, et al.. (2023). Accelerating the Response of Self-Driving Control by Using Rapid Object Detection and Steering Angle Prediction. Electronics. 12(10). 2161–2161. 11 indexed citations
10.
Chang, Bao Rong, et al.. (2023). Applying Advanced Lightweight Architecture DSGSE-Yolov5 to Rapid Chip Contour Detection. Electronics. 13(1). 10–10. 3 indexed citations
11.
Chang, Bao Rong, et al.. (2021). Applying Code Transform Model to Newly Generated Program for Improving Execution Performance. Scientific Programming. 2021. 1–21. 2 indexed citations
12.
Chang, Bao Rong, et al.. (2015). Implementation of Secondary Index on Cloud Computing NoSQL Database in Big Data Environment. Scientific Programming. 2015. 1–10. 1 indexed citations
13.
Huang, Chien‐Feng, et al.. (2015). An Intelligent Model for Pairs Trading Using Genetic Algorithms. Computational Intelligence and Neuroscience. 2015. 1–10. 20 indexed citations
14.
Chang, Bao Rong, et al.. (2013). Evaluation of Virtual Machine Performance and Virtualized Consolidation Ratio in Cloud Computing System.. J. Inf. Hiding Multim. Signal Process.. 4. 192–200. 19 indexed citations
15.
Chang, Bao Rong, et al.. (2012). Rapid Access Control on Ubuntu Cloud Computing with Facial Recognition and Fingerprint Identification.. J. Inf. Hiding Multim. Signal Process.. 3. 176–190. 12 indexed citations
16.
Chang, Bao Rong, et al.. (2007). NEW FORECASTING SCHEME USING QUANTUM MINIMIZATION TO REGULARIZE A COMPOSITE OF PREDICTION AND ITS NONLINEAR HETEROSCEDASTICITY. International journal of innovative computing, information & control. 3(5). 1251–1262. 2 indexed citations
17.
Chang, Bao Rong, et al.. (2006). Robust Forecasts by Composite Model ANFIS/NGARCH Tuned by Adaptive Support Vector Regression. 1512–1519. 1 indexed citations
18.
Chang, Bao Rong. (2005). Hybrid BPNN-Weighted Grey-CLSP Forecasting *. Journal of information science and engineering. 21(1). 209–221. 17 indexed citations
19.
Chang, Bao Rong. (2003). A High Quality Dispersed-Pulse CELP Speech Coding Algorithm at 4 kb/s. Dianzi xuebao.
20.
Chang, Bao Rong. (2001). Simulated Annealing Linked Split Vector Quantizer of LSF Parameters. Dianzi xuebao. 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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