Jia Yao

493 total citations
23 papers, 334 citations indexed

About

Jia Yao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Jia Yao has authored 23 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Molecular Biology. Recurrent topics in Jia Yao's work include Machine Learning in Healthcare (6 papers), AI in cancer detection (3 papers) and Phonocardiography and Auscultation Techniques (3 papers). Jia Yao is often cited by papers focused on Machine Learning in Healthcare (6 papers), AI in cancer detection (3 papers) and Phonocardiography and Auscultation Techniques (3 papers). Jia Yao collaborates with scholars based in Singapore, China and United States. Jia Yao's co-authors include Hua Liu, Manoranjan Dash, Mehul Motani, F. Kalaydjian, Peter Frykman, P. M. Adler, Jean‐François Thovert, E.J. Dodson, M. M. Woolfson and Keith S. Wilson and has published in prestigious journals such as Journal of Colloid and Interface Science, Expert Systems with Applications and Biochemical Society Transactions.

In The Last Decade

Jia Yao

22 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jia Yao Singapore 11 135 78 47 35 27 23 334
Bao Wang United States 11 233 1.7× 44 0.6× 18 0.4× 16 0.5× 31 1.1× 38 466
Weifeng Shan China 11 220 1.6× 48 0.6× 22 0.5× 34 1.0× 16 0.6× 36 432
Takashi Takenouchi Japan 9 174 1.3× 75 1.0× 26 0.6× 10 0.3× 12 0.4× 38 352
Liang Ge China 12 153 1.1× 42 0.5× 34 0.7× 8 0.2× 25 0.9× 47 404
Langming Liu China 3 154 1.1× 142 1.8× 14 0.3× 8 0.2× 37 1.4× 6 370
Shanmin Pang China 17 245 1.8× 475 6.1× 46 1.0× 13 0.4× 21 0.8× 60 731
Ahmad Keshavarz Iran 16 90 0.7× 60 0.8× 9 0.2× 25 0.7× 35 1.3× 66 682

Countries citing papers authored by Jia Yao

Since Specialization
Citations

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

Fields of papers citing papers by Jia Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Yao. A scholar is included among the top collaborators of Jia Yao 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 Yao. Jia Yao 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.
Li, Jiatao, et al.. (2025). Prediction of Seawater Intrusion Run-Up Distance Based on K-Means Clustering and ANN Model. Journal of Marine Science and Engineering. 13(2). 377–377. 9 indexed citations
2.
He, Chao, Jean Damascene Harindintwali, Jia Yao, et al.. (2024). Warm growing season activates microbial nutrient cycling to promote fertilizer nitrogen uptake by maize. Microbiological Research. 290. 127936–127936. 4 indexed citations
3.
Yao, Jia, Ruichen Rong, Tao Wang, & Guanghua Xiao. (2024). SegPath-YOLO: A High-Speed, High-Accuracy Pathology Image Segmentation and Tumor Microenvironment Feature Extraction Tool. 1726–1731. 1 indexed citations
4.
Huang, Huang, Qilin Li, Jia Yao, et al.. (2023). The BRCA1/BARD1 complex recognizes pre-ribosomal RNA to facilitate homologous recombination. Cell Discovery. 9(1). 99–99. 5 indexed citations
5.
Li, Jing, et al.. (2021). A fully automatic surgical registration method for percutaneous abdominal puncture surgical navigation. Computers in Biology and Medicine. 136. 104663–104663. 14 indexed citations
6.
Li, Jing, Nanyan Shen, Jie Sun, et al.. (2021). Study on strategy of CT image sequence segmentation for liver and tumor based on U-Net and Bi-ConvLSTM. Expert Systems with Applications. 180. 115008–115008. 18 indexed citations
7.
Yao, Jia, et al.. (2019). Early Prediction of Sepsis via SMOTE Upsampling and Mutual Information Based Downsampling. Computing in Cardiology Conference. 1–4. 1 indexed citations
8.
Yao, Jia, et al.. (2019). Hybrid Feature Learning Using Autoencoders for Early Prediction of Sepsis. Computing in Cardiology Conference. 1–4. 1 indexed citations
9.
Yao, Jia, et al.. (2019). Early Prediction of Sepsis via SMOTE Upsampling and Mutual Information Based Downsampling. Computing in cardiology. 45. 8 indexed citations
10.
11.
Yao, Jia, et al.. (2019). Early Prediction of Vital Signs Using Generative Boosting via LSTM Networks. 437–444. 10 indexed citations
12.
Guan, Zheng, et al.. (2019). A Bidirectional Polling MAC Mechanism for IoT. Electronics. 8(6). 715–715. 2 indexed citations
13.
Yao, Jia, et al.. (2018). Optimizing Autoencoders for Learning Deep Representations From Health Data. IEEE Journal of Biomedical and Health Informatics. 23(1). 103–111. 20 indexed citations
14.
Liu, Shiyu, et al.. (2018). SURI: Feature Selection Based on Unique Relevant Information for Health Data. 687–692. 12 indexed citations
15.
Yao, Jia, et al.. (2017). Spatio-temporal autoencoder for feature learning in patient data with missing observations. 886–890. 17 indexed citations
16.
Yao, Jia, E.J. Dodson, Keith S. Wilson, & M. M. Woolfson. (2006). ACORN: a review. Acta Crystallographica Section D Biological Crystallography. 62(8). 901–908. 21 indexed citations
17.
Carty, Michael P., Macdara Glynn, Terry Smith, et al.. (2003). The RAD30 cancer susceptibility gene. Biochemical Society Transactions. 31(1). 252–256. 10 indexed citations
18.
Dash, Manoranjan, Hua Liu, & Jia Yao. (2002). Dimensionality reduction of unsupervised data. 532–539. 109 indexed citations
19.
Yao, Jia, et al.. (2002). Interactive image retrieval over the Internet. 1908. 461–466. 5 indexed citations
20.
Yao, Jia, Peter Frykman, F. Kalaydjian, Jean‐François Thovert, & P. M. Adler. (1993). High-Order Moments of the Phase Function for Real and Reconstructed Model Porous Media: A Comparison. Journal of Colloid and Interface Science. 156(2). 478–490. 41 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Bao Wang Breakdown of academic impact, for papers by Weifeng Shan Breakdown of academic impact, for papers by Takashi Takenouchi Breakdown of academic impact, for papers by Liang Ge Breakdown of academic impact, for papers by Langming Liu Breakdown of academic impact, for papers by Shanmin Pang Breakdown of academic impact, for papers by Ahmad Keshavarz
Rankless by CCL
2026