2026 Jianlin Cheng: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	65	2463	2386	1234	1188	227	16361

Overview

Jianlin Cheng is affiliated with the University of Missouri in the United States and specializes in research primarily within Biochemistry, Genetics, and Molecular Biology. Their scholarly work encompasses a significant volume of publications, with 364 in the main field and a detailed focus on subfields such as Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Plant Science, and Structural Biology.

Their research concentrates on several core topics, including:

Protein Structure and Dynamics
Machine Learning in Bioinformatics
Computational Drug Discovery Methods
Enzyme Structure and Function
Advanced Electron Microscopy Techniques and Applications
Machine Learning in Materials Science
RNA and protein synthesis mechanisms

Jianlin Cheng has contributed to numerous papers across leading scientific venues. Recent notable publications include:

"Critical assessment of protein intrinsic disorder prediction," 2021, published in Nature Methods
"Bioinformatics Methods for Mass Spectrometry-Based Proteomics Data Analysis," 2020, published in International Journal of Molecular Sciences
"Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review," 2022, published in Proceedings of the IEEE
"Artificial intelligence in the prediction of protein-ligand interactions: recent advances and future directions," 2021, published in Briefings in Bioinformatics
"Prediction of protein assemblies, the next frontier: The CASP14-CAPRI experiment," 2021, published in Proteins Structure Function and Bioinformatics

The frequent co-authors working alongside Jianlin Cheng are:

Alex Morehead
Chen Chen
Zhiye Guo
Jie Hou
Tianqi Wu

Their research has appeared extensively in several scientific outlets, with the highest number of publications in:

bioRxiv (Cold Spring Harbor Laboratory)
Zenodo (CERN European Organization for Nuclear Research)
Bioinformatics
arXiv (Cornell University)
Proteins Structure Function and Bioinformatics

Best Publications

Prediction of protein stability changes for single-site mutations using support vector machines.

Jianlin Cheng;Arlo Randall;Pierre Baldi

1249
Citations
SCRATCH: a protein structure and structural feature prediction server

Jianlin Cheng;Arlo Z. Randall;Michael J. Sweredoski;Pierre Baldi

1232
Citations
A large-scale evaluation of computational protein function prediction

Predrag Radivojac;Wyatt T Clark;Tal Ronnen Oron;Alexandra M Schnoes

1191
Citations
An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

453
Citations
The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

Naihui Zhou;Yuxiang Jiang;Timothy R. Bergquist;Alexandra J. Lee

449
Citations
3Drefine: an interactive web server for efficient protein structure refinement

Debswapna Bhattacharya;Jackson Nowotny;Renzhi Cao;Jianlin Cheng

430
Citations
A deep learning network approach to ab initio protein secondary structure prediction

Matt Spencer;Jesse Eickholt;Jianlin Cheng

361
Citations
Improved residue contact prediction using support vector machines and a large feature set

Jianlin Cheng;Pierre Baldi

303
Citations
An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Yuxiang Jiang;Tal Ronnen Oron;Wyatt T Clark;Asma R Bankapur

302
Citations
Artificial intelligence in the prediction of protein–ligand interactions: recent advances and future directions

Unknown

276
Citations
A machine learning information retrieval approach to protein fold recognition

Jianlin Cheng;Pierre Baldi

275
Citations
Accurate Prediction of Protein Disordered Regions by Mining Protein Structure Data

Jianlin Cheng;Michael J. Sweredoski;Pierre Baldi

265
Citations
Bioinformatics Methods for Mass Spectrometry-Based Proteomics Data Analysis.

Chen Chen;Jie Hou;John J. Tanner;Jianlin Cheng

252
Citations
3Drefine: consistent protein structure refinement by optimizing hydrogen bonding network and atomic-level energy minimization.

Debswapna Bhattacharya;Jianlin Cheng

235
Citations
A neural network approach to ordinal regression

Jianlin Cheng;Zheng Wang;G. Pollastri

232
Citations
DeepSF: Deep Convolutional Neural Network for Mapping Protein Sequences to Folds

Jie Hou;Badri Adhikari;Jianlin Cheng

213
Citations
DeepQA: improving the estimation of single protein model quality with deep belief networks.

Renzhi Cao;Debswapna Bhattacharya;Jie Hou;Jianlin Cheng

203
Citations
NNcon: improved protein contact map prediction using 2D-recursive neural networks

Allison N. Tegge;Zheng Wang;Jesse Eickholt;Jianlin Cheng

195
Citations
Predicting protein residue–residue contacts using deep networks and boosting

Jesse Eickholt;Jianlin Cheng

186
Citations
DNCON2: improved protein contact prediction using two-level deep convolutional neural networks.

Badri Adhikari;Jie Hou;Jianlin Cheng;Jianlin Cheng

176
Citations
A neural network approach to ordinal regression

Jianlin Cheng

6
Citations
Additional file 1 of An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

1
Citations

Frequent Co-Authors

Pierre Baldi University of California, Irvine

Gary Stacey University of Missouri

James A. Birchler University of Missouri

Daisuke Kihara Purdue University West Lafayette

Dong Xu University of Missouri

Christophe Dessimoz University College London

Grace Y. Sun University of Missouri

Tapio Salakoski University of Turku

David T. Jones University College London

Burkhard Rost Technical University of Munich

External Links

Wikipedia of Jianlin Cheng Personal website of Jianlin Cheng Google Scholar page

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