Josh Jia-Ching Ying

1.3k total citations
49 papers, 930 citations indexed

About

Josh Jia-Ching Ying is a scholar working on Artificial Intelligence, Information Systems and Signal Processing. According to data from OpenAlex, Josh Jia-Ching Ying has authored 49 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 16 papers in Information Systems and 13 papers in Signal Processing. Recurrent topics in Josh Jia-Ching Ying's work include Data Management and Algorithms (11 papers), Human Mobility and Location-Based Analysis (10 papers) and Recommender Systems and Techniques (8 papers). Josh Jia-Ching Ying is often cited by papers focused on Data Management and Algorithms (11 papers), Human Mobility and Location-Based Analysis (10 papers) and Recommender Systems and Techniques (8 papers). Josh Jia-Ching Ying collaborates with scholars based in Taiwan, United States and Australia. Josh Jia-Ching Ying's co-authors include Vincent S. Tseng, Wang-Chien Lee, Eric Hsueh-Chan Lu, Vincent S. Tseng, Yue‐Shi Lee, Show‐Jane Yen, Yao‐Jen Chang, Che-Wei Huang, Kuan-Ta Chen and Kuan-Cheng Lin and has published in prestigious journals such as Expert Systems with Applications, Lara D. Veeken and BMJ Open.

In The Last Decade

Josh Jia-Ching Ying

46 papers receiving 902 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Josh Jia-Ching Ying Taiwan 13 497 370 250 194 139 49 930
Eric Hsueh-Chan Lu Taiwan 16 430 0.9× 378 1.0× 345 1.4× 125 0.6× 109 0.8× 58 945
Roberto Trasarti Italy 15 836 1.7× 486 1.3× 170 0.7× 163 0.8× 146 1.1× 47 1.2k
Győző Gidófalvi Sweden 17 492 1.0× 254 0.7× 56 0.2× 91 0.5× 57 0.4× 54 843
Giusy Di Lorenzo Ireland 14 1.2k 2.5× 115 0.3× 180 0.7× 90 0.5× 50 0.4× 28 1.6k
Jizhou Huang China 14 191 0.4× 75 0.2× 159 0.6× 324 1.7× 42 0.3× 43 846
Xinjiang Lu China 13 228 0.5× 120 0.3× 148 0.6× 211 1.1× 11 0.1× 46 619
Zipei Fan Japan 17 505 1.0× 116 0.3× 49 0.2× 173 0.9× 27 0.2× 65 899
Yongli Ren Australia 15 147 0.3× 101 0.3× 391 1.6× 348 1.8× 13 0.1× 76 834
Simon Urbanek United States 11 416 0.8× 67 0.2× 48 0.2× 105 0.5× 26 0.2× 28 776
Julien Eberle Switzerland 9 223 0.4× 80 0.2× 65 0.3× 94 0.5× 21 0.2× 17 598

Countries citing papers authored by Josh Jia-Ching Ying

Since Specialization
Citations

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

Fields of papers citing papers by Josh Jia-Ching Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Josh Jia-Ching Ying

This figure shows the co-authorship network connecting the top 25 collaborators of Josh Jia-Ching Ying. A scholar is included among the top collaborators of Josh Jia-Ching Ying 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 Josh Jia-Ching Ying. Josh Jia-Ching Ying 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.
Ying, Josh Jia-Ching, et al.. (2025). A Few-Shot Learning-Based Framework for Predicting Likelihood of In-patient’s Mortality. PubMed. 9(3). 320–358.
2.
Zhang, Ji, et al.. (2023). DeepSafety: a deep neural network-based edge computing framework for detecting unsafe behaviors of construction workers. Journal of Ambient Intelligence and Humanized Computing. 14(12). 15997–16009. 3 indexed citations
3.
Wu, Hsien-Chu, et al.. (2023). ATFS: A deep learning framework for angle transformation and face swapping of face de-identification. Multimedia Tools and Applications. 83(12). 36797–36822. 1 indexed citations
4.
Ying, Josh Jia-Ching, et al.. (2022). Model Establishment of Cross-Disease Course Prediction Using Transfer Learning. Applied Sciences. 12(10). 4907–4907. 1 indexed citations
5.
Tsai, Chwei‐Shyong, Hsien-Chu Wu, Yuwen Li, & Josh Jia-Ching Ying. (2021). Applying GMEI-GAN to Generate Meaningful Encrypted Images in Reversible Data Hiding Techniques. Symmetry. 13(12). 2438–2438. 1 indexed citations
6.
Tsai, Chwei‐Shyong, Hsin‐Liang Chen, Hsien-Chu Wu, & Josh Jia-Ching Ying. (2021). A Puzzle-Based Data Sharing Approach with Cheating Prevention Using QR Code. Symmetry. 13(10). 1896–1896. 3 indexed citations
7.
Chen, Hsin‐Hua, Ching‐Heng Lin, Yi‐Hsing Chen, et al.. (2020). Air pollutants and development of interstitial lung disease in patients with connective tissue disease: a population-based case–control study in Taiwan. BMJ Open. 10(12). e041405–e041405. 18 indexed citations
8.
Huang, Yu, Josh Jia-Ching Ying, Philip S. Yu, & Vincent S. Tseng. (2020). Dynamic Graph Mining for Multi-weight Multi-destination Route Planning with Deadlines Constraints. ACM Transactions on Knowledge Discovery from Data. 15(1). 1–32. 10 indexed citations
9.
Ying, Josh Jia-Ching, et al.. (2020). Applying a Genetic Algorithm to Determine Premium Rate of Occupational Accident Insurance. 135. 94–98. 1 indexed citations
10.
Chen, Yuren, et al.. (2019). Motorcyclists' Head Motions Recognition by Using the Smart Helmet with Low Sampling Rate. 157–163. 3 indexed citations
11.
Ying, Josh Jia-Ching, Ji Zhang, Che-Wei Huang, Kuan-Ta Chen, & Vincent S. Tseng. (2018). FrauDetector +. ACM Transactions on Knowledge Discovery from Data. 12(6). 1–35. 9 indexed citations
12.
Ying, Josh Jia-Ching, Zhang Ji, Che-Wei Huang, Kuan-Ta Chen, & Vincent S. Tseng. (2016). PFrauDetector: A Parallelized Graph Mining Approach for Efficient Fraudulent Phone Call Detection. University of Southern Queensland ePrints (University of Southern Queensland). 1059–1066. 3 indexed citations
13.
Ying, Josh Jia-Ching, et al.. (2015). Transfer Learning on High Variety Domains for Activity Recognition. 1–6. 7 indexed citations
14.
Ying, Josh Jia-Ching, et al.. (2013). A framework for cloud-based POI search and trip planning systems. 274–277. 1 indexed citations
15.
Su, Ja-Hwung, et al.. (2013). High-performance content-based image retrieval using DFS strategy. 270–275. 2 indexed citations
16.
Ying, Josh Jia-Ching, et al.. (2012). Urban point-of-interest recommendation by mining user check-in behaviors. 63–70. 76 indexed citations
17.
Ying, Josh Jia-Ching, Wang-Chien Lee, Mao Ye, Ching‐Yu Chen, & Vincent S. Tseng. (2011). User association analysis of locales on location based social networks. 69–76. 7 indexed citations
18.
Ying, Josh Jia-Ching, et al.. (2010). Mining user similarity from semantic trajectories. 19–26. 129 indexed citations
19.
Ying, Josh Jia-Ching, Vincent S. Tseng, & Philip S. Yu. (2009). Efficient Incremental Mining of Qualified Web Traversal Patterns without Scanning Original Databases. 338–343. 2 indexed citations
20.
Yen, Show‐Jane, Yue‐Shi Lee, Cheng‐Han Lin, & Josh Jia-Ching Ying. (2006). Investigating the Effect of Sampling Methods for Imbalanced Data Distributions. 2. 4163–4168. 21 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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