Z. Shen

7.5k total citations · 2 hit papers
36 papers, 1.3k citations indexed

About

Z. Shen is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Z. Shen has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 9 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Z. Shen's work include Topic Modeling (7 papers), Semantic Web and Ontologies (7 papers) and Scientific Computing and Data Management (5 papers). Z. Shen is often cited by papers focused on Topic Modeling (7 papers), Semantic Web and Ontologies (7 papers) and Scientific Computing and Data Management (5 papers). Z. Shen collaborates with scholars based in China, United States and Switzerland. Z. Shen's co-authors include Kuansan Wang, Hao Ma, Bo-June Hsu, Yang Song, Arnab Sinha, Yuxiao Dong, Chieh‐Han Wu, Anshul Kanakia, Fernando Ordóñez and Maged Dessouky and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Journal of the Operational Research Society.

In The Last Decade

Z. Shen

34 papers receiving 1.3k 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.

An Overview of Microsoft Academic Service (MAS) and Applications

2015 529 citations Z. Shen, Hao Ma et al. profile →
Microsoft Academic Graph: When experts are not enough

2020 293 citations Kuansan Wang, Z. Shen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Z. Shen China	13	625	288	244	232	168	36	1.3k
Jiaying Liu China	19	565 0.9×	333 1.2×	111 0.5×	269 1.2×	58 0.3×	42	1.1k
Xiaomei Bai China	17	383 0.6×	374 1.3×	259 1.1×	173 0.7×	44 0.3×	48	1.0k
Joeran Beel Germany	20	854 1.4×	960 3.3×	149 0.6×	88 0.4×	80 0.5×	65	1.6k
Shuo Yu China	18	419 0.7×	265 0.9×	111 0.5×	299 1.3×	82 0.5×	79	879
Madian Khabsa United States	17	468 0.7×	299 1.0×	92 0.4×	39 0.2×	79 0.5×	49	867
Xia Lin United States	16	533 0.9×	369 1.3×	48 0.2×	86 0.4×	92 0.5×	75	1.0k
Muhammad Tanvir Afzal Pakistan	19	511 0.8×	353 1.2×	293 1.2×	37 0.2×	150 0.9×	110	1.1k
Tehmina Amjad Pakistan	18	308 0.5×	358 1.2×	191 0.8×	167 0.7×	29 0.2×	43	962
Michael L. Nelson United States	21	524 0.8×	1.3k 4.6×	194 0.8×	325 1.4×	63 0.4×	220	2.2k

Countries citing papers authored by Z. Shen

Since Specialization

Citations

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

Fields of papers citing papers by Z. Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Z. Shen

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Jin, Yong, Qingmei Chen, Mian Wang, et al.. (2025). Development and validation of a nomogram for predicting the outcome of metabolic syndrome among people living with HIV after antiretroviral therapy in China. Frontiers in Cellular and Infection Microbiology. 15. 1514823–1514823. 1 indexed citations

2.

Grieser, N. A., et al.. (2025). The LHCb Stripping Project: Sustainable Legacy Data Processing for High-Energy Physics. PubMed. 9(1). 21–21.

3.

Shen, Z., et al.. (2025). The Risks of aged polystyrene microplastics cannot be ignored: release of large amounts of degradation products. International Journal of Environmental Science and Technology. 22(11). 9901–9914. 3 indexed citations

4.

Zhu, Bin, et al.. (2024). Development of an Isotropic-response wide energy range neutron spectrometer. 1–1.

5.

Shen, Z., et al.. (2024). Perceived Mistreatment and Professional Identity of Medical Students in China. JAMA Network Open. 7(11). e2444245–e2444245. 3 indexed citations

6.

Cheng, Hao, et al.. (2023). Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding. 12259–12275. 4 indexed citations

7.

Shi, Wenyu, Guomei Fan, Z. Shen, et al.. (2022). gcCov: Linked open data for global coronavirus studies. SHILAP Revista de lepidopterología. 1(1). 92–95. 5 indexed citations

8.

Shen, Z., et al.. (2021). PandaDB: Intelligent Management System for Heterogeneous Data. 11(1). 69–90. 1 indexed citations

9.

Kanakia, Anshul, Kuansan Wang, Yuxiao Dong, et al.. (2020). Mitigating Biases in CORD-19 for Analyzing COVID-19 Literature. SHILAP Revista de lepidopterología. 5. 596624–596624. 4 indexed citations

10.

Wang, Yufei, et al.. (2020). Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning. Communications in Computational Physics. 28(5). 2158–2179. 19 indexed citations

11.

Zhao, Zihao & Z. Shen. (2019). An Interactive Analysis Framework for Multivariate Heterogeneous Graph Data Management System. Shuju fenxi yu zhishi faxian. 3(10). 37–46. 3 indexed citations

12.

Wang, Kuansan, Z. Shen, Chieh‐Han Wu, et al.. (2019). A Review of Microsoft Academic Services for Science of Science Studies. Frontiers in Big Data. 2. 45–45. 90 indexed citations

13.

Shen, Z., Hao Ma, & Kuansan Wang. (2018). A Web-scale system for scientific knowledge exploration. 87–92. 62 indexed citations

14.

Dong, Yuxiao, Hao Ma, Z. Shen, & Kuansan Wang. (2017). A Century of Science. 1437–1446. 52 indexed citations

15.

Shen, Z., Jianhui Li, & Fang Han. (2015). Opencsdb: Research on The Application of Linked Data in Scientific Databases. Data Science Journal. 14(0). 4–4. 2 indexed citations

16.

Shen, Z., et al.. (2011). VisualDB: Managing and Publishing Scientific Data on the Web. 399–404. 3 indexed citations

17.

Shen, Z., Mohamed Dessouky, & Fernando Ordóñez. (2010). Perishable inventory management system with a minimum volume constraint. Journal of the Operational Research Society. 62(12). 2063–2082. 32 indexed citations

18.

Huang, Zhiyi, et al.. (2009). Design and Implementation of an XML-Based Universal Mobile Data Acquisition System. 12. 456–457. 1 indexed citations

19.

Shen, Z., Maged Dessouky, & Fernando Ordóñez. (2009). A two‐stage vehicle routing model for large‐scale bioterrorism emergencies. Networks. 54(4). 255–269. 62 indexed citations

20.

Shen, Z., Maged Dessouky, & Fernando Ordóñez. (2007). The Stochastic Vehicle Routing Problem for Large-scale Emergencies. 20 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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