Jia-Wei Chang

1.1k total citations
58 papers, 720 citations indexed

About

Jia-Wei Chang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Ocean Engineering. According to data from OpenAlex, Jia-Wei Chang has authored 58 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 8 papers in Ocean Engineering. Recurrent topics in Jia-Wei Chang's work include Enhanced Oil Recovery Techniques (8 papers), Pickering emulsions and particle stabilization (6 papers) and Music and Audio Processing (5 papers). Jia-Wei Chang is often cited by papers focused on Enhanced Oil Recovery Techniques (8 papers), Pickering emulsions and particle stabilization (6 papers) and Music and Audio Processing (5 papers). Jia-Wei Chang collaborates with scholars based in Taiwan, China and Japan. Jia-Wei Chang's co-authors include Jen-Wei Huang, Jason C. Hung, Ming-Che Lee, Neil Y. Yen, Dasheng Lee, Hairong Wu, Jirui Hou, Wenhao Shao, G. Li and Ning Kang and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Expert Systems with Applications and IEEE Access.

In The Last Decade

Jia-Wei Chang

57 papers receiving 685 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jia-Wei Chang Taiwan	15	185	145	130	89	83	58	720
Shaofu Lin China	12	166 0.9×	105 0.7×	213 1.6×	52 0.6×	55 0.7×	73	774
Ruiyun Yu China	17	126 0.7×	111 0.8×	292 2.2×	23 0.3×	212 2.6×	68	1.0k
Jinchuan Chen China	15	59 0.3×	205 1.4×	87 0.7×	74 0.8×	32 0.4×	40	920
Chao Liu China	17	65 0.4×	47 0.3×	162 1.2×	177 2.0×	147 1.8×	119	1.4k
Florin Leon Romania	15	62 0.3×	19 0.1×	240 1.8×	77 0.9×	51 0.6×	105	1.0k
Yuehua Liu China	15	61 0.3×	53 0.4×	194 1.5×	19 0.2×	72 0.9×	34	867
Xu Wu China	10	177 1.0×	126 0.9×	540 4.2×	9 0.1×	93 1.1×	57	1.0k
Zhijun Li China	16	125 0.7×	66 0.5×	93 0.7×	25 0.3×	619 7.5×	66	1.1k
Varun Ojha United Kingdom	10	66 0.4×	27 0.2×	267 2.1×	25 0.3×	100 1.2×	50	785

Countries citing papers authored by Jia-Wei Chang

Since Specialization

Citations

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

Fields of papers citing papers by Jia-Wei Chang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia-Wei Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Jia-Wei Chang. A scholar is included among the top collaborators of Jia-Wei 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 Jia-Wei Chang. Jia-Wei 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

Wu, Hairong, G. Li, Yongjie Yuan, et al.. (2025). Enhanced oil recovery using amphiphilic nanomaterials with tailored functionalities: a review. Journal of Molecular Liquids. 425. 127190–127190. 5 indexed citations

Gao, Wen, et al.. (2025). A novel multifunctional fluorescent probe for imaging the regulatory effects of pregnane X receptor on ferroptosis and carboxylesterase in atherosclerosis. Sensors and Actuators B Chemical. 429. 137306–137306. 1 indexed citations

Chang, Jia-Wei, et al.. (2024). Multi-Level Transfer Learning using Incremental Granularities for environmental sound classification and detection. Applied Soft Computing. 169. 112619–112619. 5 indexed citations

Chang, Jia-Wei, et al.. (2024). Human movement science-informed multi-task spatio temporal graph convolutional networks for fitness action recognition and evaluation. Applied Soft Computing. 164. 111963–111963. 1 indexed citations

Wu, Hairong, Wenhao Shao, G. Li, et al.. (2024). Janus SiO2-surfactant dispersion designed for enhanced imbibition oil recovery in ultra-low permeability reservoirs. Colloids and Surfaces A Physicochemical and Engineering Aspects. 703. 135260–135260. 5 indexed citations

Sun, Duixiong, Jia-Wei Chang, Maogen Su, et al.. (2024). Analysis of Trace Heavy Metal in Solution Using Liquid Cathode Glow Discharge Spectroscopy. Sensors. 24(23). 7756–7756.

Wu, Hairong, et al.. (2024). In-situ emulsification and viscosification system of surfactant-assisted Janus nanofluid and its profile control effect. ADVANCES IN GEO-ENERGY RESEARCH. 14(2). 135–146. 8 indexed citations

Chang, Che-Hao, et al.. (2024). Hybrid Deep Neural Networks with Multi-Tasking for Rice Yield Prediction Using Remote Sensing Data. Agriculture. 14(4). 513–513. 10 indexed citations

Wu, Hairong, et al.. (2024). A CO2-responsive Janus SiO2 nanofluid: Integration of enhanced oil recovery and demulsification. Journal of Molecular Liquids. 412. 125832–125832. 3 indexed citations

10.

Wu, Hairong, et al.. (2024). CO₂ Switchable Pickering Emulsion Stabilized by Responsive Janus SiO₂ Nanoparticles for Enhanced Oil Recovery. ACS Applied Nano Materials. 7(2). 1835–1844. 7 indexed citations

11.

Chang, Jia-Wei, Lin Ma, A. J. Fisher, et al.. (2023). Triplet-mediated spin entanglement between organic radicals: integrating first principles and open-quantum-system simulations. NPG Asia Materials. 15(1). 7 indexed citations

12.

Hung, Jason C., Jia-Wei Chang, & Yan Pei. (2023). Innovative Computing Vol 2 - Emerging Topics in Future Internet. Lecture notes in electrical engineering. 1 indexed citations

13.

Shao, Wenhao, et al.. (2023). Recent research progress on imbibition system of nanoparticle-surfactant dispersions. 8(2). 34–44. 6 indexed citations

14.

Lee, Ming-Che, et al.. (2022). Applying attention-based BiLSTM and technical indicators in the design and performance analysis of stock trading strategies. Neural Computing and Applications. 34(16). 13267–13279. 33 indexed citations

15.

Chang, Jia-Wei, Jason C. Hung, & Kuan-Cheng Lin. (2021). Singability-enhanced lyric generator with music style transfer. Computer Communications. 168. 33–53. 9 indexed citations

16.

Lin, Kuan-Cheng, et al.. (2021). A Study on Using Transfer Learning to Improve BERT Model for Emotional Classification of Chinese Lyrics.. International Conference on Computational Linguistics. 13–17. 1 indexed citations

17.

Yang, Weixin, Terry Lyons, Hao Ni, et al.. (2017). Leveraging the Path Signature for Skeleton-based Human Action Recognition.. arXiv (Cornell University). 18 indexed citations

18.

Chang, Jia-Wei, et al.. (2016). Effects of using self-explanation on a web-based Chinese sentence-learning system. Computer Assisted Language Learning. 30(1-2). 44–63. 8 indexed citations

19.

Chang, Jia-Wei, et al.. (2012). Using grammar patterns to evaluate semantic similarity for short texts. 2. 548–553. 4 indexed citations

20.

Chang, Jia-Wei, et al.. (1993). A Corpus-Based Statistics-Oriented Transfer and Generation Model for Machine Translation. 2 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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