Mingdong Tang

3.7k total citations
105 papers, 2.7k citations indexed

About

Mingdong Tang is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Mingdong Tang has authored 105 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Information Systems, 74 papers in Computer Networks and Communications and 25 papers in Artificial Intelligence. Recurrent topics in Mingdong Tang's work include Caching and Content Delivery (54 papers), Service-Oriented Architecture and Web Services (42 papers) and Recommender Systems and Techniques (32 papers). Mingdong Tang is often cited by papers focused on Caching and Content Delivery (54 papers), Service-Oriented Architecture and Web Services (42 papers) and Recommender Systems and Techniques (32 papers). Mingdong Tang collaborates with scholars based in China, United States and Taiwan. Mingdong Tang's co-authors include Jianxun Liu, Xiaoqing Liu, Buqing Cao, Kuan‐Ching Li, Zibin Zheng, Jianxun Liu, Wei Liang, Guosheng Kang, Jing Long and Jinjun Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Mingdong Tang

95 papers receiving 2.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mingdong Tang China	27	2.1k	1.6k	768	264	169	105	2.7k
Zibin Zheng China	23	1.1k 0.6×	742 0.5×	598 0.8×	226 0.9×	128 0.8×	140	2.1k
Jinpeng Huai China	23	1.1k 0.5×	1.2k 0.8×	704 0.9×	386 1.5×	114 0.7×	150	2.1k
Jun Han Australia	27	1.6k 0.8×	903 0.6×	1.2k 1.5×	195 0.7×	130 0.8×	201	2.5k
Xianghan Zheng China	23	989 0.5×	871 0.6×	797 1.0×	206 0.8×	225 1.3×	97	1.8k
Di Niu Canada	23	821 0.4×	1.4k 0.9×	1.1k 1.4×	345 1.3×	375 2.2×	93	2.6k
Shinichi Honiden Japan	22	914 0.4×	812 0.5×	683 0.9×	167 0.6×	92 0.5×	211	1.7k
Shailendra Rathore South Korea	22	1.3k 0.6×	1.4k 0.9×	809 1.1×	132 0.5×	217 1.3×	38	2.3k
Florian Rosenberg Austria	23	1.6k 0.8×	1.3k 0.8×	870 1.1×	964 3.7×	154 0.9×	47	2.6k
Ali Dorri Australia	15	2.5k 1.2×	2.1k 1.3×	697 0.9×	247 0.9×	597 3.5×	36	3.4k

Countries citing papers authored by Mingdong Tang

Since Specialization

Citations

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

Fields of papers citing papers by Mingdong Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingdong Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Mingdong Tang. A scholar is included among the top collaborators of Mingdong Tang 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 Mingdong Tang. Mingdong Tang 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

Han, Dezhi, et al.. (2025). GraphSeqGuard: Detecting Ethereum phishing scams via temporally evolving graph sequences. Knowledge-Based Systems. 332. 114895–114895.

Tang, Mingdong, et al.. (2024). Mashup-oriented API recommendation via pre-trained heterogeneous information networks. Information and Software Technology. 169. 107428–107428. 4 indexed citations

Huang, Yuan, et al.. (2024). The Sword of Damocles: Upgradeable Smart Contract in Ethereum. 333–345. 1 indexed citations

Cao, Buqing, et al.. (2024). Knowledge distillation representation and DCNMIX quality prediction‐based Web service recommendation. Concurrency and Computation Practice and Experience. 36(12).

Tang, Bing, et al.. (2024). AFL-HCS: asynchronous federated learning based on heterogeneous edge client selection. Cluster Computing. 27(5). 6247–6264. 2 indexed citations

Tang, Mingdong, et al.. (2023). Temporal-aware QoS Prediction based on Tensor Factorization and Self-Attention for Cloud Services. 126. 197–202. 1 indexed citations

Ma, Zhaohui, Jie Zhang, & Mingdong Tang. (2023). Optimized Random Forest for DDoS Attack Detection in SDN Environment. 35. 72–77. 1 indexed citations

Zhang, Tingting, et al.. (2023). A Novel QoS Interval Prediction Method for Web Services Based on Random Walk. 41. 316–321.

Xie, Fenfang, et al.. (2023). Weighted meta-graph based mobile application recommendation through matrix factorisation and neural networks. Connection Science. 36(1). 2 indexed citations

10.

Huang, Hao, et al.. (2022). A Web Service Classification Method Based on Graph Neural Network Knowledge Distillation. 42. 1710–1715. 3 indexed citations

11.

Tang, Bing, et al.. (2021). Composition pattern-aware web service recommendation based on depth factorisation machine. Connection Science. 33(4). 870–890. 13 indexed citations

12.

Tang, Mingdong, et al.. (2020). Leveraging N-1 Queues to Improve the Energy Efficiency of Scalable Computing. IEEE Access. 8. 86573–86584. 2 indexed citations

13.

Li, Hongzhi, et al.. (2020). A Privacy-Preserving Charging Scheme for Electric Vehicles Using Blockchain and Fog Computing. IEEE Systems Journal. 15(3). 3189–3200. 86 indexed citations

14.

Cao, Buqing, et al.. (2017). Integrated Content and Network-Based Service Clustering and Web APIs Recommendation for Mashup Development. IEEE Transactions on Services Computing. 13(1). 99–113. 107 indexed citations

15.

Cao, Buqing, et al.. (2017). Domain-aware Mashup service clustering based on LDA topic model from multiple data sources. Information and Software Technology. 90. 40–54. 53 indexed citations

16.

Cao, Buqing, et al.. (2016). Empirical Study on the Characteristics of Complex Networks in Mashup Service Network. 網際網路技術學刊. 17(6). 1163–1172. 1 indexed citations

17.

Tang, Mingdong, et al.. (2016). Exploring Web Services from a Network Perspective Using Multi-Level Views.. Journal of Web Engineering. 15. 501–520. 3 indexed citations

18.

Wang, Jian, et al.. (2016). A Requirements Elicitation Approach Based on Feature Model and Collaborative Filtering. 53(9). 2055. 1 indexed citations

19.

Kang, Guosheng, Jianxun Liu, Mingdong Tang, Buqing Cao, & Yu Xu. (2016). Improved Active Web Service Recommendation Based on Usage History. Applied Mathematics & Information Sciences. 10(3). 903–913. 1 indexed citations

20.

Kang, Guosheng, Jianxun Liu, Mingdong Tang, & Yu Xu. (2012). An Effective Dynamic Web Service Selection Strategy with Global Optimal QoS Based on Particle Swarm Optimization Algorithm. 2280–2285. 26 indexed citations

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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