Jiawei Yang

1.2k total citations · 1 hit paper
36 papers, 584 citations indexed

About

Jiawei Yang is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jiawei Yang has authored 36 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 7 papers in Signal Processing and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jiawei Yang's work include Anomaly Detection Techniques and Applications (15 papers), Time Series Analysis and Forecasting (6 papers) and Advanced Statistical Methods and Models (5 papers). Jiawei Yang is often cited by papers focused on Anomaly Detection Techniques and Applications (15 papers), Time Series Analysis and Forecasting (6 papers) and Advanced Statistical Methods and Models (5 papers). Jiawei Yang collaborates with scholars based in China, Finland and Singapore. Jiawei Yang's co-authors include Susanto Rahardja, Pasi Fränti, Marco Pavone, Yue Wang, Xu Tan, Yu Chen, Radu Mariescu-Istodor, Guojun Wang, Shuhong Chen and Kun Wang and has published in prestigious journals such as Journal of Power Sources, Journal of Hazardous Materials and International Journal of Hydrogen Energy.

In The Last Decade

Jiawei Yang

31 papers receiving 569 citations

Hit Papers

FreeNeRF: Improving Few-Shot Neural Rendering with Free F... 2023 2026 2024 2025 2023 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. FreeNeRF: Improving Few-Shot Neural Rendering with Free Frequency Regularization
    2023 116 citations Jiawei Yang et al. profile →

Peers

Jiawei Yang
Kris De Brabanter United States
Zhilong Zhang China
Adrião Duarte Dória Neto Brazil
Gilson A. Giraldi Brazil
Jiachen Liu China
Yifan Guo United States
Miguel Ángel Bautista Spain
Prudhvi Gurram United States
Kris De Brabanter United States
Jiawei Yang
Citations per year, relative to Jiawei Yang Jiawei Yang (= 1×) peers Kris De Brabanter

Countries citing papers authored by Jiawei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jiawei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiawei Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jiawei Yang. A scholar is included among the top collaborators of Jiawei Yang 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 Jiawei Yang. Jiawei Yang 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.
Yang, Jiawei, et al.. (2025). The risk of dementia in breast cancer survivors: a meta-analysis of observational studies. Annals of Medicine. 57(1). 2529579–2529579.
2.
Wu, Anqi, et al.. (2025). High stability of flat-tube solid oxide short stack over 100 thermal cycles. Journal of Power Sources. 643. 237066–237066. 1 indexed citations
3.
Tan, Xu, et al.. (2025). MSS-PAE: Saving Autoencoder-based Outlier Detection from Unexpected Reconstruction. Pattern Recognition. 163. 111467–111467. 1 indexed citations
4.
Yang, Jiawei, Anqi Wu, Yiping Yang, et al.. (2024). One-step method to produce feedstock for green ammonia of H2:N2≥3:1 by solid oxide cell. International Journal of Hydrogen Energy. 56. 1132–1138. 3 indexed citations
5.
Xiao, Qianqian, Qiong Zhang, Jiawei Yang, et al.. (2024). 1,2-bis(2,4,6-tribromophenoxy) ethane induces necroptosis via the co-competition of GAS5 and NUAK1 for miR-743a-5p in rat hepatocytes. Journal of Hazardous Materials. 478. 135375–135375. 3 indexed citations
6.
Yang, Jiawei & Susanto Rahardja. (2024). Digit Forest for Outlier Detection. 1–7.
7.
Chen, Shuhong, et al.. (2024). CLFLDP: Communication-efficient layer clipping federated learning with local differential privacy. Journal of Systems Architecture. 148. 103067–103067. 10 indexed citations
8.
Yang, Jiawei, et al.. (2024). A stable method to produce feedstock for green ammonia of H2:N2=3:1 by solid oxide electrolysis cell. Journal of Power Sources. 614. 234971–234971.
9.
10.
Yang, Jiawei, et al.. (2024). Regional Ensemble for Improving Unsupervised Outlier Detectors. IEEE Transactions on Artificial Intelligence. 5(9). 4391–4402. 2 indexed citations
11.
Tan, Xu, et al.. (2024). Joint Selective State Space Model and Detrending for Robust Time Series Anomaly Detection. IEEE Signal Processing Letters. 31. 2050–2054. 5 indexed citations
12.
Qin, Can, et al.. (2024). Too much social media? Unveiling the effects of determinants in social media fatigue. Frontiers in Psychology. 15. 1277846–1277846. 9 indexed citations
13.
Yang, Jiawei, et al.. (2023). GFL-ALDPA: a gradient compression federated learning framework based on adaptive local differential privacy budget allocation. Multimedia Tools and Applications. 83(9). 26349–26368. 10 indexed citations
14.
Chen, Shuhong, et al.. (2023). A new federated learning-based wireless communication and client scheduling solution for combating COVID-19. Computer Communications. 206. 101–109. 8 indexed citations
15.
Yang, Jiawei, et al.. (2023). Outlier detection: How to Select k for k-nearest-neighbors-based outlier detectors. Pattern Recognition Letters. 174. 112–117. 18 indexed citations
16.
Yao, Zhicheng, et al.. (2023). Time-trends in liver cancer incidence and mortality rates in the U.S. from 1975 to 2017: a study based on the Surveillance, Epidemiology, and End Results database. Journal of Gastrointestinal Oncology. 14(1). 312–324. 13 indexed citations
17.
Yang, Jiawei, et al.. (2022). Regional Ensemble for Improving Unsupervised Outlier Detectors. SSRN Electronic Journal. 4 indexed citations
18.
Tan, Xu, Jiawei Yang, & Susanto Rahardja. (2022). Sparse random projection isolation forest for outlier detection. Pattern Recognition Letters. 163. 65–73. 34 indexed citations
19.
Song, Weinan, Yuan Liang, Jiawei Yang, Kun Wang, & Lei He. (2021). Oral-3D: Reconstructing the 3D Structure of Oral Cavity from Panoramic X-ray. Proceedings of the AAAI Conference on Artificial Intelligence. 35(1). 566–573. 17 indexed citations
20.
Wang, Jun, et al.. (2015). Effect of tetrahydropalmatine on expression of Cav1.2 in dorsal root ganglion neurons in mice with sciatic nerve chronic constriction injury. 31(11). 1598–1603. 4 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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