Jiaxin Shi
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- Graph Theory and Algorithms 5
- Artificial Intelligence top 1%
- Topic Modeling 13
- Natural Language Processing Techniques 12
- Advanced Graph Neural Networks 6
- Domain Adaptation and Few-Shot Learning 4
- Hardware and Architecture top 5%
- Health Informatics top 5%
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- Radiomics and Machine Learning in Medical Imaging 8
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- Reproductive System and Pregnancy 5
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- Surface Treatment and Residual Stress 5
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputer Networks and Communications
- Journals
- Journal of the American Chemical Society (1 paper)SHILAP Revista de lepidopterología (1 paper)Journal of Hydrology (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Jiaxin Shi
75 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 1.1k
- Computer Networks and Communications 591
- Hardware and Architecture 174
- Health Informatics 25
Countries citing papers authored by Jiaxin Shi
This map shows the geographic impact of Jiaxin Shi'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 Jiaxin Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaxin Shi more than expected).
Fields of papers citing papers by Jiaxin Shi
This network shows the impact of papers produced by Jiaxin Shi. 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 Jiaxin Shi. The network helps show where Jiaxin Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jiaxin Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 11 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 33 | |
| 8 | 2024 | 49 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 0 | |
| 13 | 2022 | 42 | |
| 14 | Unbiased Scene Graph Generation From Biased Trainingbreakdown → | 2020 | 429 |
| 15 | 2019 | 101 | |
| 16 | Sliced Score Matching: A Scalable Approach to Density and Score Estimation | 2019 | 5 |
| 17 | A Spectral Approach to Gradient Estimation for Implicit Distributions. | 2018 | 3 |
| 18 | On Modeling Sense Relatedness in Multi-prototype Word Embedding | 2017 | 1 |
| 19 | 2016 | 61 | |
| 20 | Performance evaluation of cold chain logistics of fresh food E-commerce based on ANP | 2015 | 1 |
About Jiaxin Shi
Jiaxin Shi is a scholar working on Metals and Alloys, Obstetrics and Gynecology and Artificial Intelligence, having authored 90 papers that have together received 2.6k indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Advanced Graph Neural Networks (6 papers), Graph Theory and Algorithms (5 papers), Reproductive System and Pregnancy (5 papers), Surface Treatment and Residual Stress (5 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Artificial Intelligence (1.1k citations) and Computer Networks and Communications (591 citations). Jiaxin Shi has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Rong Chen, Haibo Chen, Hanwang Zhang, Kaihua Tang, Jianqiang Huang, Yulei Niu, Jun Zhu, Mengchen Liu, Shi‐Xia Liu and Xingda Wei. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Journal of Hydrology.
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.