Chiyuan Zhang

13.2k citations
92 papers · 4.8k indexed · 3 hit papers · h-index 28

Chiyuan Zhang

87 papers receiving 4.7k citations

Hit Papers

Understanding deep learni...20102026201520202021201020224008001.2k

Peers

Chiyuan Zhang
Comparison fields: 5 of 194
  • Artificial Intelligence 1.5k
  • Computer Vision and Pattern Recognition 1.1k
  • Nephrology 860
  • Orthopedics and Sports Medicine 855
  • Surgery 683
Replace Daniel L. Koller with:
Daniel L. Koller United States
Bradley J. Erickson United States
Xin Chen China
Johan H. C. Reiber Netherlands
Chien‐Liang Liu Taiwan
Hongzhi Wang China
Salvatore Vitabile Italy
Ling Zhang China
Adrian Hilton United Kingdom
Yan Xu China
Chiyuan Zhang relative to Daniel L. Koller United States Daniel L. Koller's profile →
Citations per field
00.5×7.7×
Daniel L. Koller · 1×
Citations per year

Countries citing papers authored by Chiyuan Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Chiyuan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chiyuan Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Chiyuan Zhang. A scholar is included among the top collaborators of Chiyuan Zhang 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 Chiyuan Zhang. Chiyuan Zhang 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
#WorkIndexed citations
1 18
2 21
3 1
4 11
5 9
6 2
7
Deduplicating Training Data Makes Language Models Betterbreakdown →
147
8
Characterizing Structural Regularities of Labeled Data in Overparameterized Models
7
9
What is being transferred in transfer learning
14
10
Identity Crisis: Memorization and Generalization Under Extreme Overparameterization
6
11
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
4
12
Exploring the Memorization-Generalization Continuum in Deep Learning
2
13
Transfusion: Understanding Transfer Learning for Medical Imaging
46
14
Trends in the Management of Overactive Bladder in the United States from 2003-2015
2
15 7
16 6
17
Combining Active and Semi-Supervised Learning for Video Compression.
1
18 29
19 26
20 45

About Chiyuan Zhang

Chiyuan Zhang is a scholar working on Orthopedics and Sports Medicine, Nephrology and Reproductive Medicine, having authored 92 papers that have together received 4.8k indexed citations. Recurring topics across this work include Bone health and osteoporosis research (17 papers), Parathyroid Disorders and Treatments (13 papers) and Bone health and treatments (7 papers). The work is most often cited by research in Nephrology (860 citations), Orthopedics and Sports Medicine (855 citations) and Computer Vision and Pattern Recognition (1.1k citations). Chiyuan Zhang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Samy Bengio, Xiaofei He, Deng Cai, Moritz Hardt, Benjamin Recht, Oriol Vinyals, Donald J. McMahon, John P. Bilezikian, Elizabeth Shane and Emily M. Stein. Their work appears in journals such as Nature Communications, Gastroenterology and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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