Zhong Ming

1.5k total citations · 1 hit paper
59 papers, 1000 citations indexed

About

Zhong Ming is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Zhong Ming has authored 59 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Information Systems, 42 papers in Artificial Intelligence and 21 papers in Management Science and Operations Research. Recurrent topics in Zhong Ming's work include Recommender Systems and Techniques (45 papers), Advanced Bandit Algorithms Research (20 papers) and Advanced Graph Neural Networks (19 papers). Zhong Ming is often cited by papers focused on Recommender Systems and Techniques (45 papers), Advanced Bandit Algorithms Research (20 papers) and Advanced Graph Neural Networks (19 papers). Zhong Ming collaborates with scholars based in China, Hong Kong and United States. Zhong Ming's co-authors include Weike Pan, Meikang Qiu, Jiayin Li, Keke Gai, Ziliang Zong, Feng Liang, Dugang Liu, Xiuqiang He, Zhenhua Dong and Pengxiang Cheng and has published in prestigious journals such as Information Sciences, Journal of the Operational Research Society and Artificial Intelligence.

In The Last Decade

Zhong Ming

50 papers receiving 981 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.

Phase-Change Memory Optimization for Green Cloud with Genetic Algorithm

2015 267 citations Zhong Ming et al. profile →

Peers

Countries citing papers authored by Zhong Ming

Since Specialization

Citations

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

Fields of papers citing papers by Zhong Ming

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhong Ming

This figure shows the co-authorship network connecting the top 25 collaborators of Zhong Ming. A scholar is included among the top collaborators of Zhong Ming 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 Zhong Ming. Zhong Ming 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	Effects of interlayer alternation on information diffusion on directed multiplex higher-order networks 2026 ·Chaos An Interdisciplinary Journal of Nonlinear Science ·Dandan Zhao, (unknown), Bin Zhang, (unknown), Zhong Ming, S. Li, (unknown), (unknown), (unknown)	0
2	Enhancing Text-to-SQL with Question Classification and Multi-Agent Collaboration 2025 ·Zhihui Shao, Shubin Cai, Rui Lin, Zhong Ming	0
3	MBASR: A Generic Framework for Multi-Behavior Data Augmentation in Sequential Recommendation 2025 ·(unknown), Jing Xiao, Weike Pan, Zhong Ming	0
4	A survey on cross-user federated recommendation 2025 ·Science China Information Sciences ·(unknown), (unknown), (unknown), Weike Pan, Qiang Yang, Zhong Ming	1
5	CCL5 deficiency aggravates acute DSS-induced colitis by restricting IL-33-induced formation of Tregs in intestinal tract 2025 ·Clinical Science ·(unknown), (unknown), Yongheng Zhao, (unknown), (unknown), (unknown), (unknown), (unknown), Zhong Ming	0
6	A survey on sequential recommendation 2025 ·Frontiers of Computer Science ·Liwei Pan, Weike Pan, Mei‐Yan Wei, (unknown), Zhong Ming	0
7	Ownership Verification for Federated Recommendation 2025 ·ACM Transactions on Information Systems ·(unknown), Weike Pan, Lixin Fan, Hanlin Gu, (unknown), Qiang Yang, Zhong Ming	1
8	A Generic Behavior-Aware Data Augmentation Framework for Sequential Recommendation 2024 ·(unknown), Weike Pan, Zhong Ming	3
9	Decentralized Federated Recommendation with Privacy-aware Structured Client-level Graph 2024 ·ACM Transactions on Intelligent Systems and Technology ·(unknown), (unknown), Feng Liang, Weike Pan, Qiang Yang, Zhong Ming	7
10	Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation 2024 ·(unknown), (unknown), (unknown), Weike Pan, Zhong Ming, (unknown), (unknown), Jie Jiang	7
11	Abstraction and Refinement: Towards Scalable and Exact Verification of Neural Networks 2024 ·ACM Transactions on Software Engineering and Methodology ·(unknown), (unknown), (unknown), Fu Song, Zhiwu Xu, Zhong Ming	2
12	BMLP: behavior-aware MLP for heterogeneous sequential recommendation 2024 ·Frontiers of Computer Science ·(unknown), Yuhao Wu, Yang Liu, Weike Pan, Zhong Ming	3
13	BGNN: Behavior-aware graph neural network for heterogeneous session-based recommendation 2023 ·Frontiers of Computer Science ·(unknown), (unknown), Weike Pan, Zhong Ming	19
14	Privacy-preserving graph convolution network for federated item recommendation 2023 ·Artificial Intelligence ·(unknown), (unknown), Weike Pan, Qiang Yang, (unknown), Zhong Ming	11
15	Transfer learning for collaborative recommendation with biased and unbiased data 2023 ·Artificial Intelligence ·(unknown), Dugang Liu, Weike Pan, Qiang Yang, Zhong Ming	8
16	A Multi-view Graph Contrastive Learning Framework for Cross-Domain Sequential Recommendation 2023 ·(unknown), Weike Pan, Zhong Ming	14
17	Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions 2022 ·(unknown), (unknown), (unknown), Weike Pan, Li Chen, Zhong Ming	18
18	FedRec++: Lossless Federated Recommendation with Explicit Feedback 2021 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Feng Liang, Weike Pan, Zhong Ming	83
19	Active fraction of Polyrhachis vicina Rogers (AFPR) suppressed breast cancer growth and progression via regulating EGR1/lncRNA-NKILA/NF-κB axis 2019 ·Biomedicine & Pharmacotherapy ·Dongmei Li, Zhong Ming, (unknown), Fangming Song, (unknown), (unknown), Jie Wei, (unknown), Xiaoxi Hu, Guining Wei	24
20	Role of RANK-RANKL-OPG Axis in Cranial Suture Homeostasis 2011 ·Journal of Craniofacial Surgery ·Justine C. Lee, (unknown), Deana Shenaq, Zhong Ming, Christian Wietholt, Tong‐Chuan He, Russell R. Reid	19

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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