Tonghai Jiang

1.0k citations

36 papers · 705 · h-index 11

Impact in

Microbiology top 10%
- Antimicrobial Peptides and Activities
Computational Theory and Mathematics top 5%
- Computational Drug Discovery Methods

Papers in

Artificial Intelligence 17
- Natural Language Processing Techniques 9
- Speech Recognition and Synthesis 5
- Topic Modeling 4
Molecular Biology 10
- Machine Learning in Bioinformatics 8
- Bioinformatics and Genomic Networks 6
- Protein Structure and Dynamics 4

Co-authors: Zhu‐Hong You (11 shared papers)Xi Zhou (12 shared papers)Hai-Cheng Yi (4 shared papers)Yanbin Wang (4 shared papers)Li Cheng (4 shared papers)Li Xiao (2 shared papers)Xiao Li (2 shared papers)Zhan‐Heng Chen (2 shared papers)
Journals: IEEE Access (2 papers)Applied Sciences (2 papers)Molecular Therapy — Nucleic Acids (2 papers)Computer Communications (1 paper)Language Resources and Evaluation (1 paper)
Partner nations: China Taiwan Netherlands

In The Last Decade

Tonghai Jiang

32 papers receiving 691 citations

Peers

Replace Demi Guo with:

Demi Guo United States

Muhammad Tahir Pakistan

Li Cheng China

Yanbin Wang China

Zaheer Ullah Khan China

Shahid Akbar Pakistan

Huang Cheng-bing China

Abhinav Kumar India

Quang‐Thai Ho Taiwan

Bosheng Song China

Tonghai Jiang relative to Demi Guo United States Demi Guo's profile →

Citations per field

00.5×2×4×5.9×

Demi Guo · 1×

×1.1 59/52

MICRO

×0.6 150/244

CTM

×0.4 476/1k

MB

×2.0 59/29

SP

×4.0 20/5

SOFTW

Citations per year

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Countries citing papers authored by Tonghai Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Tonghai Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	ACP-DL: A Deep Learning Long Short-Term Memory Model to Predict Anticancer Peptides Using High-Efficiency Feature Representation Molecular Therapy — Nucleic Acids ·Hai-Cheng Yi, Zhu‐Hong You, Xi Zhou, Li Cheng, Xiao Li, Tonghai Jiang, Zhan‐Heng Chen	2019	160
2	A Deep Learning Framework for Robust and Accurate Prediction of ncRNA-Protein Interactions Using Evolutionary Information Molecular Therapy — Nucleic Acids ·Hai-Cheng Yi, Zhu‐Hong You, De-Shuang Huang, Li Xiao, Tonghai Jiang, Liping Li	2018	96
3	Predicting protein–protein interactions from protein sequences by a stacked sparse autoencoder deep neural network Molecular BioSystems ·Yanbin Wang, Zhu‐Hong You, Li Xiao, Tonghai Jiang, Xing Chen, Xi Zhou, Lei Wang	2017	86
4	A High Efficient Biological Language Model for Predicting Protein–Protein Interactions Cells ·Yanbin Wang, Zhu‐Hong You, Shan Yang, Li Xiao, Tonghai Jiang, Xi Zhou	2019	63
5	PCVMZM: Using the Probabilistic Classification Vector Machines Model Combined with a Zernike Moments Descriptor to Predict Protein–Protein Interactions from Protein Sequences International Journal of Molecular Sciences ·Yanbin Wang, Zhu‐Hong You, Li Xiao, Xing Chen, Tonghai Jiang, Jingting Zhang	2017	50
6	HEMD: a highly efficient random forest-based malware detection framework for Android Neural Computing and Applications ·Huijuan Zhu, Tonghai Jiang, Bo Ma, Zhu‐Hong You, Wei-Lei Shi, Cheng Li	2017	47
7	Learning distributed representations of RNA and protein sequences and its application for predicting lncRNA-protein interactions Computational and Structural Biotechnology Journal ·Hai-Cheng Yi, Zhu‐Hong You, Li Cheng, Xi Zhou, Tonghai Jiang, Li Xiao, Yanbin Wang	2019	32
8	Modeling and reasoning of IoT architecture in semantic ontology dimension Computer Communications ·Guang Chen, Tonghai Jiang, Meng Wang, Xinyu Tang, Wenfei Ji	2020	24
9	Pretraining Convolutional Neural Networks for Image-Based Vehicle Classification Advances in Multimedia ·Yunfei Han, Tonghai Jiang, Yupeng Ma, Chunxiang Xu	2018	19
10	Predicting Protein Interactions Using a Deep Learning Method‐Stacked Sparse Autoencoder Combined with a Probabilistic Classification Vector Machine Complexity ·Yanbin Wang, Zhu‐Hong You, Liping Li, Li Cheng, Xi Zhou, Libo Zhang, Xiao Li, Tonghai Jiang	2018	16
11	In silico drug repositioning using deep learning and comprehensive similarity measures BMC Bioinformatics ·Hai-Cheng Yi, Zhu‐Hong You, Lei Wang, Xiaorui Su, Xi Zhou, Tonghai Jiang	2021	12
12	A Novel Data Integration Framework Based on Unified Concept Model IEEE Access ·Bo Ma, Tonghai Jiang, Xi Zhou, Fan Zhao, Yating Yang	2017	9
13	Time-Series Classification Based on Fusion Features of Sequence and Visualization Applied Sciences ·Baoquan Wang, Tonghai Jiang, Xi Zhou, Bo Ma, Fan Zhao, Yi Wang	2020	9
14	An Method for Vehicle-Flow Detection and Tracking in Real-Time Based on Gaussian Mixture Distribution Advances in Mechanical Engineering ·Ronghui Zhang, Pingshu Ge, Xi Zhou, Tonghai Jiang, Rongben Wang	2013	9
15	Prediction of protein self-interactions using stacked long short-term memory from protein sequences information BMC Systems Biology ·Yanbin Wang, Zhu‐Hong You, Xiao Li, Tonghai Jiang, Li Cheng, Zhan‐Heng Chen	2018	8
16	Medical image computing and computer-assisted intervention (MICCAI 2010) : 13th international conference, Beijing, China, September 20-24, 2010, proceedings, part I TU/e Research Portal (Eindhoven University of Technology) ·Tonghai Jiang, Nassir Navab, J.P.W. Pluim, Viergever	2010	7
17	Improved Prediction of Protein-Protein Interactions Using Descriptors Derived From PSSM via Gray Level Co-Occurrence Matrix IEEE Access ·Huijuan Zhu, Zhu‐Hong You, Wei-Lei Shi, Shoukun Xu, Tonghai Jiang, Lihua Zhuang	2019	7
18	Research of Water Flooded Performance and Pattern in Horizontal Well With Bottom-Water Drive Reservoir Canadian International Petroleum Conference ·Debao Zhou, Tonghai Jiang, Junpeng Feng, Wanjiang Bian, Y. Liu, Jianfei Zhao	2004	6
19	Design and model checking of timed automata oriented architecture for Internet of thing International Journal of Distributed Sensor Networks ·Guang Chen, Tonghai Jiang, Meng Wang, Xinyu Tang, Wenfei Ji	2020	6
20	Lane Detection Algorithm at Night Based-on Distribution Feature ofBoundary Dots for Vehicle Active Safety Information Technology Journal ·Ronghui Zhang, Haiwei Wang, Xi Zhou, Lei Wang, Tonghai Jiang	2012	6

About Tonghai Jiang

Tonghai Jiang is a scholar working on Artificial Intelligence, Molecular Biology, Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 36 papers that have together received 705 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Machine Learning in Bioinformatics (8 papers), Bioinformatics and Genomic Networks (6 papers), Speech Recognition and Synthesis (5 papers), Protein Structure and Dynamics (4 papers), Topic Modeling (4 papers), Computational Drug Discovery Methods (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Microbiology (59 citations), Computational Theory and Mathematics (150 citations), Molecular Biology (476 citations), Signal Processing (59 citations) and Software (20 citations). Tonghai Jiang has collaborated with scholars based in China, Taiwan and Netherlands. Frequent co-authors include Zhu‐Hong You, Xi Zhou, Hai-Cheng Yi, Yanbin Wang, Li Cheng, Li Xiao, Xiao Li, Zhan‐Heng Chen, Li Xiao and Liping Li. Their work appears in journals such as IEEE Access, Applied Sciences, Molecular Therapy — Nucleic Acids, Computer Communications and Language Resources and Evaluation.

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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