Jinbo Xu

15.8k total citations · 4 hit papers
153 papers, 7.9k citations indexed

About

Jinbo Xu is a scholar working on Molecular Biology, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Jinbo Xu has authored 153 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Molecular Biology, 40 papers in Materials Chemistry and 19 papers in Artificial Intelligence. Recurrent topics in Jinbo Xu's work include Protein Structure and Dynamics (78 papers), Machine Learning in Bioinformatics (39 papers) and Enzyme Structure and Function (39 papers). Jinbo Xu is often cited by papers focused on Protein Structure and Dynamics (78 papers), Machine Learning in Bioinformatics (39 papers) and Enzyme Structure and Function (39 papers). Jinbo Xu collaborates with scholars based in United States, China and Canada. Jinbo Xu's co-authors include Sheng Wang, Jian Peng, Jianzhu Ma, Bonnie Berger, Morten Källberg, Rohit Singh, Haipeng Wang, Hui Lü, Zhiyong Wang and Siqi Sun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Jinbo Xu

145 papers receiving 7.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Template-based protein structure modeling using the RaptorX web server

2012 1.2k citations Sheng Wang, Jian Peng et al. profile →
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model

2017 625 citations Sheng Wang, Siqi Sun et al. PLoS Computational Biology profile →
Protein Secondary Structure Prediction Using Deep Convolutional Neural Fields

2016 409 citations Sheng Wang, Jian Peng et al. profile →
RaptorX-Property: a web server for protein structure property prediction

2016 386 citations Sheng Wang, Jinbo Xu et al. profile →

Peers

Countries citing papers authored by Jinbo Xu

Since Specialization

Citations

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

Fields of papers citing papers by Jinbo Xu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinbo Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Jinbo Xu. A scholar is included among the top collaborators of Jinbo Xu 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 Jinbo Xu. Jinbo Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Clinical use of whole-genome sequencing in children with developmental delay or intellectual disability 2025 ·BMC Medical Genomics ·Jinbo Xu, Yaobo Xu, (unknown), Lulu Chen, Yishan Wang, (unknown)	0
2	The Self-adaptive and Topology-aware MPI_Bcast leveraging Collective offload on Tianhe Express Interconnect 2024 ·(unknown), Yi Dai, (unknown), Jinbo Xu, (unknown), Weixia Xu, Ming Xie, Jie Liu, Zhiquan Lai, Sheng Ma, Qi Zhu	0
3	Annotating functional effects of non-coding variants in neuropsychiatric cell types by deep transfer learning 2022 ·PLoS Computational Biology ·Ben Lai, Sheng Qian, (unknown), Siwei Zhang, Alena Kozlova, Jubao Duan, Jinbo Xu, Xin He	7
4	Study of real-valued distance prediction for protein structure prediction with deep learning 2021 ·Bioinformatics ·Jin Li, Jinbo Xu	15
5	Accurate protein function prediction via graph attention networks with predicted structure information 2021 ·Briefings in Bioinformatics ·Ben Lai, Jinbo Xu	73
6	ORFLine: a bioinformatic pipeline to prioritize small open reading frames identifies candidate secreted small proteins from lymphocytes 2021 ·Bioinformatics ·Fengyuan Hu, Jia Lu, Louise S. Matheson, Manuel D. Díaz‐Muñoz, Alexander Saveliev, Jinbo Xu, Martin Turner	9
7	Deep graph learning of inter-protein contacts 2021 ·Bioinformatics ·(unknown), Jinbo Xu	35
8	Improved protein model quality assessment by integrating sequential and pairwise features using deep learning 2020 ·Bioinformatics ·Xiaoyang Jing, Jinbo Xu	9
9	Research on penetration of small size fragment to single soldier protection equipment 2019 ·(unknown), (unknown), Jinbo Xu, (unknown)	1
10	Predicting the clinical impact of human mutation with deep neural networks 2018 ·Nature Genetics ·Laksshman Sundaram, Hong Gao, Samskruthi Reddy Padigepati, Jeremy F. McRae, Yanjun Li, Jack A. Kosmicki, (unknown), Jörg Hakenberg, Anindita Dutta, John Shon, Jinbo Xu, Serafim Batzoglou, Xiaolin Li, Kyle Kai‐How Farh	263
11	Urban Land Use and Land Cover Classification Using Remotely Sensed SAR Data through Deep Belief Networks 2015 ·Journal of Sensors ·Qi Lv, Yong Dou, Xin Niu, (unknown), Jinbo Xu, Fei Xia	103
12	Inferring Block Structure of Graphical Models in Exponential Families 2015 ·International Conference on Artificial Intelligence and Statistics ·Siqi Sun, Hai Wang, Jinbo Xu	8
13	Learning structured densities via infinite dimensional exponential families 2015 ·Neural Information Processing Systems ·Siqi Sun, Mladen Kolar, Jinbo Xu	2
14	Adaptive Variable Clustering in Gaussian Graphical Models 2014 ·International Conference on Artificial Intelligence and Statistics ·Siqi Sun, (unknown), Jinbo Xu	7
15	Estimating the partition function of graphical models using Langevin importance sampling 2013 ·International Conference on Artificial Intelligence and Statistics ·Jianzhu Ma, Jian Peng, Sheng Wang, Jinbo Xu	6
16	Approximate inference by intersecting semidefinite bound and local polytope 2012 ·International Conference on Artificial Intelligence and Statistics ·Jian Peng, Tamir Hazan, Nathan Srebro, Jinbo Xu	4
17	Conditional Neural Fields 2009 ·Neural Information Processing Systems ·Jian Peng, Liefeng Bo, Jinbo Xu	80
18	Identification of Let-7–Regulated Oncofetal Genes 2008 ·Cancer Research ·Benjamin Boyerinas, Sun-Mi Park, Noam Shomron, (unknown), Jeppe Vinther, Jens Andersen, Christine Feig, Jinbo Xu, Christopher B. Burge, Marcus E. Peter	188
19	Improved Scheme of Enterprise Cooperated Integration Based on Web Service 2007 ·Jinbo Xu	0
20	An Anti‐CD45RO Immunotoxin Kills Latently Infected Human Immunodeficiency Virus (HIV) CD4 T Cells in the Blood of HIV‐Positive Persons 2002 ·The Journal of Infectious Diseases ·Jesús Saavedra‐Lozano, Cynthia McCoig, Jinbo Xu, Yanying Cao, Philip Keiser, Victor Gheţie, Robert F. Siliciano, Janet D. Siliciano, Louis J. Picker, Octavio Ramilo, Ellen S. Vitetta	12

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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