Jian Peng

5.7k total citations · 3 hit papers
67 papers, 3.9k citations indexed

About

Jian Peng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Jian Peng has authored 67 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 23 papers in Computer Vision and Pattern Recognition and 20 papers in Molecular Biology. Recurrent topics in Jian Peng's work include Protein Structure and Dynamics (14 papers), Remote-Sensing Image Classification (12 papers) and Enzyme Structure and Function (10 papers). Jian Peng is often cited by papers focused on Protein Structure and Dynamics (14 papers), Remote-Sensing Image Classification (12 papers) and Enzyme Structure and Function (10 papers). Jian Peng collaborates with scholars based in China, United States and Germany. Jian Peng's co-authors include Jinbo Xu, Sheng Wang, Hui Lü, Morten Källberg, Zhiyong Wang, Haipeng Wang, Jianzhu Ma, Haifeng Li, Li Chen and Haozhe Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Scientific Reports.

In The Last Decade

Jian Peng

60 papers receiving 3.9k citations

Hit Papers

Template-based protein structure modeling using the Rapto... 2012 2026 2016 2021 2012 2020 2016 400 800 1.2k

Peers

Jian Peng
Comparison fields: 5 of 159
  • Molecular Biology 2.2k
  • Media Technology 651
  • Artificial Intelligence 588
  • Computer Vision and Pattern Recognition 405
  • Materials Chemistry 395
Replace Jesús Angulo with:
Jesús Angulo Spain
Jian Peng United States
Amrita Mohan United States
Yu Li China
Dick de Ridder Netherlands
Yuhang Zhang China
Slobodan Vučetić United States
Jun Sese Japan
Colin Campbell United Kingdom
Alexander J. Hartemink United States
Jesús Angulo Spain View profile →
Citations per field, relative to Jian Peng
Jian Peng · 1×
Citations per year, relative to Jian Peng
Jian Peng · 1×

Countries citing papers authored by Jian Peng

Since Specialization
Citations

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

Fields of papers citing papers by Jian Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Peng. A scholar is included among the top collaborators of Jian Peng 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 Jian Peng. Jian Peng 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
# Work Indexed citations
1 0
2 0
3 1
4 2
5 15
6 11
7 11
8 30
9 66
10 24
11 2
12 12
13
Fast and Accurate Text Classification: Skimming, Rereading and Early Stopping
11
14 1
15 8
16
Protein Secondary Structure Prediction Using Deep Convolutional Neural Fields breakdown →
409
17
Template-based protein structure modeling using the RaptorX web server breakdown →
1243
18
Convex max-product algorithms for continuous MRFs with applications to protein folding
20
19 277
20
Conditional Neural Fields
80

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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