Ce Zhang

101 papers receiving 3.2k citations

Hit Papers

Predicting non-small cell lung cancer prognosis by fully ...201620262019202220162022200400600

Peers

Ce Zhang
Comparison fields: 5 of 174
  • Artificial Intelligence 2.0k
  • Information Systems 546
  • Computer Vision and Pattern Recognition 545
  • Computer Networks and Communications 495
  • Radiology, Nuclear Medicine and Imaging 423
Replace Reda Alhajj with:
Reda Alhajj Canada
Shengding Hu China
Ameet Talwalkar United States
D. Sculley United States
Chandan K. Reddy United States
Wei Shi China
Zhengyan Zhang China
Jing Liu China
Paolo Ferragina Italy
Randall Wald United States
Ce Zhang relative to Reda Alhajj Canada Reda Alhajj's profile →
Citations per field
00.5×1.5×
Reda Alhajj · 1×
Citations per year

Countries citing papers authored by Ce Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ce Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ce Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Ce Zhang. A scholar is included among the top collaborators of Ce 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 Ce Zhang. Ce 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 0
2 32
3
Ease.ML: A Lifecycle Management System for MLDev and MLOps
3
4
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness
8
5 26
6
Learning to Mutate with Hypergradient Guided Population
4
7 16
8
On convergence of nearest neighbor classifiers over feature transformations
3
9 12
10
$D^2$: Decentralized Training over Decentralized Data
1
11 4
12
ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning
52
13
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
188
14 16
15
Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image featuresbreakdown →
680
16
Feature Engineering for Knowledge Base Construction.
21
17
DOES WEB NEWS MEDIA HAVE OPINIONS? EVIDENCE FROM REAL ESTATE MARKET PREDICTION
2
18 75
19
Building an Entity-Centric Stream Filtering Test Collection for TREC 2012
46
20
Big Data versus the Crowd: Looking for Relationships in All the Right Places
29

About Ce Zhang

Ce Zhang is a scholar working on Artificial Intelligence, Software and Information Systems and Management, having authored 103 papers that have together received 3.3k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (20 papers), Machine Learning and Algorithms (12 papers) and Topic Modeling (11 papers). The work is most often cited by research in Health Informatics (111 citations), Artificial Intelligence (2.0k citations) and Computer Vision and Pattern Recognition (545 citations). Ce Zhang has collaborated with scholars based in Switzerland, United States and China. Frequent co-authors include Christopher Ré, Daniel L. Rubin, Russ B. Altman, Gerald J. Berry, M Snyder, Kun‐Hsing Yu, Christopher Ré, Bin Cui, Ji Liu and Jiawei Jiang. Their work appears in journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Agricultural and Food Chemistry.

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

Rankless by CCL
2026