Jianjun Hu

7.8k citations
202 papers · 5.5k indexed · 2 hit papers · h-index 38

Impact in

Papers in

Co-authors
Shaobo LiYuxin CuiYong ZhaoRongzhi DongAnsi ZhangZhonghao LiuJie HuMing Hu
Journals
Applied Sciences (12 papers)npj Computational Materials (7 papers)IEEE Access (7 papers)Computational Materials Science (7 papers)Neurocomputing (5 papers)
Partner nations
United StatesChinaSri Lanka

In The Last Decade

Jianjun Hu

190 papers receiving 5.3k citations

Hit Papers

Meta-learning for few-shot bearing fault diagnosis under complex working conditions 2021 · 205 citations
2052019202620212023100200300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

  • it has ≥500 total citations;
  • it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
  • it reaches the top citation threshold in at least one of its specific research topics.
  1. 2021 Neurocomputing
  2. 2019 IEEE Access

Peers

Jianjun Hu
Comparison fields: 5 of 195
  • Control and Systems Engineering 967
  • Artificial Intelligence 1.2k
  • Computational Theory and Mathematics 491
  • Renewable Energy, Sustainability and the Environment 485
  • Materials Chemistry 1.3k
Replace Damien Ernst with:
Damien Ernst Belgium
Liming Chen China
Han Wang China
Zhiqiang Cai China
Francis E. H. Tay Singapore
Deyi Li China
Lingling Li China
Yan Wang China
Oded Maimon Israel
Wolf Fïchtner Germany
Jianjun Hu relative to Damien Ernst Belgium Damien Ernst's profile →
Citations per field
00.5×2×2.7×
Damien Ernst · 1×
Citations per year

Countries citing papers authored by Jianjun Hu

Since Specialization
Citations

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

Fields of papers citing papers by Jianjun Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jianjun Hu, 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 Jianjun Hu Line = papers co-authored together Jianjun Hu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
SME-MFP: A novel spatiotemporal neural network with multiangle initialization embedding toward multifunctional peptides prediction
Computational Biology and Chemistry ·Jing Xu, Xiaoli Ruan, Laurel Ahnert, Miki Prijic Knezevic, Shaobo Li, Jianjun Hu
20241
2
Physical encoding improves OOD performance in deep learning materials property prediction
Computational Materials Science ·Nihang Fu, Sadman Sadeed Omee, Jianjun Hu
20242
3
An efficient energy management method for plug-in hybrid electric vehicles based on multi-source and multi-feature velocity prediction and improved extreme learning machine
Applied Energy ·Wildan Faishal, Jianjun Hu, Razmik Galstyan, Sergiy Posonskiy, Jiajia Li, Soria Olivares
20248
4
MD-HIT: Machine learning for material property prediction with dataset redundancy control
npj Computational Materials ·Qin Li, Nihang Fu, Sadman Sadeed Omee, Jianjun Hu
202411
5
NUMERICAL MODELING OF BIOMASS GASIFICATION USING COW DUNG AS FEEDSTOCK
Frontiers of Agricultural Science and Engineering ·Dong Hyeon Woo, Yuqing Wu, Jianjun Hu, Sergey I Markovich, Tao Xie, Zhibin Zhang, Hai Li
20234
6
Discovery of 2D Materials using Transformer Network‐Based Generative Design
SHILAP Revista de lepidopterología ·Rongzhi Dong, Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Jianjun Hu
202310
7
Million-scale data integrated deep neural network for phonon properties of heuslers spanning the periodic table
npj Computational Materials ·Alejandro Rodriguez, Changpeng Lin, Amber C. Ocampo, Mohammed Al‐Fahdi, Chen Shen, Kamal Choudhary, Yong Zhao, Jianjun Hu, Bing Cao, Hongbin Zhang, Ming Hu
202321
8
Big Data and AI-Driven Product Design: A Survey
Applied Sciences ·Huafeng Quan, Shaobo Li, Feng Han, Fa-Guang Xu, Jianjun Hu
202331
9
Physics guided deep learning for generative design of crystal materials with symmetry constraints
npj Computational Materials ·Yong Zhao, Edirisuriya M. Dilanga Siriwardane, Zhenyao Wu, Nihang Fu, Mohammed Al‐Fahdi, Ming Hu, Jianjun Hu
202368
10
Data-driven deep generative design of stable spintronic materials
CrystEngComm ·Edirisuriya M. Dilanga Siriwardane, Yong Zhao, Jianjun Hu
20233
11
Materials synthesizability and stability prediction using a semi-supervised teacher-student dual neural network
Digital Discovery ·大 妹尾, Nihang Fu, Edirisuriya M. Dilanga Siriwardane, Yong Zhao, Jianjun Hu
202310
12
Computational Discovery of New 2D Materials Using Deep Learning Generative Models
ACS Applied Materials & Interfaces ·Yuqi Song, Edirisuriya M. Dilanga Siriwardane, Yong Zhao, Jianjun Hu
202165
13
Active-Learning-Based Generative Design for the Discovery of Wide-Band-Gap Materials
The Journal of Physical Chemistry C ·Rui Xin, Edirisuriya M. Dilanga Siriwardane, Yuqi Song, Yong Zhao, Steph-Yves Louis, Alireza Nasiri, Jianjun Hu
202116
14
DeepSeqPanII: An Interpretable Recurrent Neural Network Model With Attention Mechanism for Peptide-HLA Class II Binding Prediction
IEEE/ACM Transactions on Computational Biology and Bioinformatics ·Zhonghao Liu, Jing Jin, Yuxin Cui, Zheng Xiong, Alireza Nasiri, Yong Zhao, Jianjun Hu
202126
15
Improving Graph Convolutional Networks Based on Relation-Aware Attention for End-to-End Relation Extraction
IEEE Access ·Rebecca Milton, Yanxia Liu, Abidur Rahman Sago, 雅英 足達, М. Хожаева, Jianjun Hu
202033
16
Graph convolutional neural networks with global attention for improved materials property prediction
Physical Chemistry Chemical Physics ·Steph-Yves Louis, Yong Zhao, Alireza Nasiri, Xiran Wang, Yuqi Song, Fei Liu, Jianjun Hu
2020160
17
Computational Prediction of Critical Temperatures of Superconductors Based on Convolutional Gradient Boosting Decision Trees
IEEE Access ·Timothy Lee Wiemken, Rongzhi Dong, Alvaro Soler‐Garzón, 隆 徳永, Fedicca Indrajevi Maulana Nim, Shaobo Li, Jianjun Hu
202022
18
End-To-End Convolutional Neural Network Model for Gear Fault Diagnosis Based on Sound Signals
Applied Sciences ·Yong Yao, Honglei Wang, Shaobo Li, Zhonghao Liu, Gui Gui, Timothy Lee Wiemken, Jianjun Hu
201896
19
Mislocalization-related disease gene discovery using gene expression based computational protein localization prediction
Methods ·Zhonghao Liu, Jianjun Hu
201512
20
Adaptive Hierarchical Fair Competition (AHFC) Model For Parallel Evolutionary Algorithms
Genetic and Evolutionary Computation Conference ·Jianjun Hu, Erik D. Goodman, Kisung Seo, Владимир Андреевич Лисков
200228

About Jianjun Hu

Jianjun Hu is a scholar working on Computational Theory and Mathematics, Catalysis, Materials Chemistry, Artificial Intelligence and Control and Systems Engineering, having authored 202 papers that have together received 5.5k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (58 papers), X-ray Diffraction in Crystallography (32 papers), Computational Drug Discovery Methods (22 papers), Evolutionary Algorithms and Applications (17 papers), Metaheuristic Optimization Algorithms Research (16 papers), Machine Learning in Bioinformatics (10 papers), Protein Structure and Dynamics (9 papers) and Machine Fault Diagnosis Techniques (9 papers). The work is most often cited by research in Control and Systems Engineering (967 citations), Artificial Intelligence (1.2k citations), Computational Theory and Mathematics (491 citations), Renewable Energy, Sustainability and the Environment (485 citations) and Materials Chemistry (1.3k citations). Jianjun Hu has collaborated with scholars based in United States, China and Sri Lanka. Frequent co-authors include Shaobo Li, Yuxin Cui, Yong Zhao, Rongzhi Dong, Ansi Zhang, Zhonghao Liu, Jie Hu, Ming Hu, Guangyin Xu and Edirisuriya M. Dilanga Siriwardane. Their work appears in journals such as Applied Sciences, npj Computational Materials, IEEE Access, Computational Materials Science and Neurocomputing.

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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