Zehui Liu

477 total citations · 1 hit paper
15 papers, 337 citations indexed

About

Zehui Liu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Zehui Liu has authored 15 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 4 papers in Artificial Intelligence and 3 papers in Molecular Biology. Recurrent topics in Zehui Liu's work include Software-Defined Networks and 5G (4 papers), Cloud Computing and Resource Management (3 papers) and Computational Drug Discovery Methods (3 papers). Zehui Liu is often cited by papers focused on Software-Defined Networks and 5G (4 papers), Cloud Computing and Resource Management (3 papers) and Computational Drug Discovery Methods (3 papers). Zehui Liu collaborates with scholars based in China, United States and United Kingdom. Zehui Liu's co-authors include Jin Huang, Xiangxiang Zeng, Weiqiang Lü, Siyi Zhu, Yin Huang, Charis Eng, Joseph Loscalzo, Jiansong Fang, Lang Li and Huimin Guo and has published in prestigious journals such as Chemical Science, Energies and Soft Computing.

In The Last Decade

Zehui Liu

10 papers receiving 331 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.

Target identification among known drugs by deep learning from heterogeneous networks

2020 257 citations Xiangxiang Zeng, Siyi Zhu et al. Chemical Science profile →

Peers

Countries citing papers authored by Zehui Liu

Since Specialization

Citations

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

Fields of papers citing papers by Zehui Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zehui Liu

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Accurate machine vision identification of GCHD symptom using a self-attention-based CNN model with adaptive fish separation 2025 ·Smart Agricultural Technology ·(unknown), Zehui Liu, (unknown), Muchen Zhang, (unknown), (unknown), Jun Xiao, Jianguo Su, Jiaji Pan, Hao Feng	0
2	Isolated Adrenocorticotropic Hormone Deficiency Associated with Sintilimab in the Treatment of Lung Adenocarcinoma: A Case Report and Literature Review 2025 ·Endocrine Research ·Zehui Liu, Qiang Ma, Sha Ma, (unknown), Haowei Zhang, (unknown), (unknown)	0
3	A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Zehui Liu, Chunfeng Cui, Deren Han	3
4	Enhancing Organizational Performance: Harnessing AI and NLP for User Feedback Analysis in Product Development 2024 ·(unknown), (unknown), Zehui Liu, (unknown), Yubing Tang	1
5	ENHANCING ORGANIZATIONAL PERFORMANCE: HARNESSING AI AND NLP FOR USER FEEDBACK ANALYSIS IN PRODUCT DEVELOPMENT 2024 ·arXiv (Cornell University) ·(unknown), Zehui Liu, (unknown), Yubing Tang	0
6	Impact of Imbalanced Modulation on Security of Continuous-Variable Measurement-Device-Independent Quantum Key Distribution 2024 ·Photonics ·(unknown), Zehui Liu, Jiandong Bai, Jie Qi, Guangwei Zhang, (unknown), (unknown)	0
7	Physical Layer Key Generation Method Based on SVD Pre-processing 2023 ·Journal of Cyber Security and Mobility ·Zehui Liu, Min Guo, (unknown)	2
8	Research on Deployment Scheme and Routing Optimization Algorithm of Distribution Cable Condition Monitoring Devices 2023 ·Energies ·Jun Wu, Mingzhen Li, (unknown), Zehui Liu, (unknown), (unknown)	0
9	wSDTNBI: a novel network-based inference method for virtual screening 2021 ·Chemical Science ·Zengrui Wu, Hui Ma, Zehui Liu, (unknown), (unknown), (unknown), (unknown), (unknown), Weihua Li, Guixia Liu, Jin Huang, Yun Tang	23
10	Target identification among known drugs by deep learning from heterogeneous networks breakdown → 2020 ·Chemical Science ·Xiangxiang Zeng, Siyi Zhu, Weiqiang Lü, Zehui Liu, Jin Huang, Yadi Zhou, Jiansong Fang, Yin Huang, Huimin Guo, Lang Li, Bruce D. Trapp, Ruth Nussinov, Charis Eng, Joseph Loscalzo, Feixiong Cheng	257
11	Target Identification Among Known Drugs by Deep Learning from Heterogeneous Networks 2019 ·SSRN Electronic Journal ·Xiangxiang Zeng, Siyi Zhu, Weiqiang Lü, Jin Huang, Zehui Liu, Yadi Zhou, Yuan Hou, Yin Huang, Huimin Guo, Jiansong Fang, Mingyao Liu, Bruce D. Trapp, Lang Li, Ruth Nussinov, Charis Eng, Joseph Loscalzo, Feixiong Cheng	2
12	Defending against Packet-In messages flooding attack under SDN context 2018 ·Soft Computing ·Deyun Gao, Zehui Liu, Ying Liu, Chuan Heng Foh, (unknown), Han‐Chieh Chao	28
13	An adaptive approach for elephant flow detection with the rapidly changing traffic in data center network 2017 ·International Journal of Network Management ·Zehui Liu, Deyun Gao, Ying Liu, Hongke Zhang, Chuan Heng Foh	11
14	Optimizing Elephant Flow Scheduling for SDN-Based Data Center Network 2017 ·網際網路技術學刊 ·Zehui Liu, Deyun Gao, Ying Liu, Hongke Zhang, H. Jonathan Chao	2
15	An Enhanced Scheduling Mechanism for Elephant Flows in SDN-Based Data Center 2016 ·Zehui Liu, Deyun Gao, Liu Ying, Hongke Zhang	8

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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