Eric P. Xing

40.9k citations
412 papers · 16.3k indexed · 9 hit papers · h-index 64

Impact in

    • Advanced Image and Video Retrieval Techniques
    • Face and Expression Recognition
    • Advanced Neural Network Applications
    • Multimodal Machine Learning Applications
    • Topic Modeling
    • Domain Adaptation and Few-Shot Learning
    • Natural Language Processing Techniques

Papers in

Eric P. Xing

389 papers receiving 15.6k citations

Hit Papers

A foundation model of transcription across human cell types 2025 · 26 citations
26200220262010201850010001.5k

Peers

Eric P. Xing
Comparison fields: 5 of 209
  • Computer Vision and Pattern Recognition 6.2k
  • Artificial Intelligence 8.8k
  • Computational Mathematics 141
  • Statistical and Nonlinear Physics 1.7k
  • Signal Processing 1.2k
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Citations per year

Countries citing papers authored by Eric P. Xing

Since Specialization
Citations

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

Fields of papers citing papers by Eric P. Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric P. Xing. 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 Eric P. Xing. The network helps show where Eric P. Xing may publish in the future.

Co-authors

The 25 scholars most cited alongside Eric P. Xing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric P. Xing Line = papers co-authored together Eric P. Xing links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20240
4 20241
5 20240
6 202280
7 202140
8 202139
9 202114
10
STRADS-AP: Simplifying Distributed Machine Learning Programming without Introducing a New Programming Model.
20192
11 20186
12
Learning Latent Space Models with Angular Constraints
20179
13
Structured generative adversarial networks
201712
14
Controllable Text Generation.
201743
15
On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System
201614
16 201469
17
Mapping the geographical diffusion of new words
201223
18
Large-Scale Category Structure Aware Image Categorization
201141
19
An Augmented Lagrangian Approach to Constrained MAP Inference
201156
20
Nonextensive Information Theoretic Kernels on Measures
200957

About Eric P. Xing

Eric P. Xing is a scholar working on Artificial Intelligence, Computational Mathematics, Computer Vision and Pattern Recognition, Statistics and Probability and Signal Processing, having authored 412 papers that have together received 16.3k indexed citations. Recurring topics across this work include Topic Modeling (68 papers), Natural Language Processing Techniques (53 papers), Domain Adaptation and Few-Shot Learning (49 papers), Advanced Image and Video Retrieval Techniques (38 papers), Multimodal Machine Learning Applications (37 papers), Bioinformatics and Genomic Networks (34 papers), Gene expression and cancer classification (33 papers) and Bayesian Methods and Mixture Models (32 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.2k citations), Artificial Intelligence (8.8k citations), Computational Mathematics (141 citations), Statistical and Nonlinear Physics (1.7k citations) and Signal Processing (1.2k citations). Eric P. Xing has collaborated with scholars based in United States, China and United Arab Emirates. Frequent co-authors include Michael I. Jordan, Stuart Russell, Andrew Y. Ng, Amr Ahmed, Se Young Kim, Stephen E. Fienberg, David M. Blei, Edoardo M. Airoldi, Richard M. Karp and Xiaodan Liang. Their work appears in journals such as Bioinformatics, Journal of Machine Learning Research, Journal of Computational Biology, BMC Bioinformatics 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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