Zhu Wang

4.2k total citations · 1 hit paper
140 papers, 2.9k citations indexed

About

Zhu Wang is a scholar working on Strategy and Management, Economics and Econometrics and Surgery. According to data from OpenAlex, Zhu Wang has authored 140 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Strategy and Management, 23 papers in Economics and Econometrics and 19 papers in Surgery. Recurrent topics in Zhu Wang's work include Digital Platforms and Economics (28 papers), ICT Impact and Policies (17 papers) and Consumer Market Behavior and Pricing (13 papers). Zhu Wang is often cited by papers focused on Digital Platforms and Economics (28 papers), ICT Impact and Policies (17 papers) and Consumer Market Behavior and Pricing (13 papers). Zhu Wang collaborates with scholars based in United States, China and Canada. Zhu Wang's co-authors include Chirag R. Parikh, Prasad Devarajan, Steven G. Coca, Catherine D. Krawczeski, Amit X. Garg, Michael Zappitelli, Heather Thiessen‐Philbrook, Michael G. Shlipak, Jay L. Koyner and Uptal D. Patel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Zhu Wang

130 papers receiving 2.8k 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.

Postoperative Biomarkers Predict Acute Kidney Injury and Poor Outcomes after Adult Cardiac Surgery

2011 557 citations Zhu Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhu Wang United States	27	907	479	444	298	291	140	2.9k
Heinz Zimmermann Switzerland	31	110 0.1×	756 1.6×	251 0.6×	672 2.3×	91 0.3×	176	4.0k
Merel van Diepen Netherlands	29	683 0.8×	316 0.7×	300 0.7×	27 0.1×	43 0.1×	98	2.7k
Won Ho Kim South Korea	36	453 0.5×	1.2k 2.5×	395 0.9×	27 0.1×	222 0.8×	303	4.7k
James A. Hill United States	46	863 1.0×	3.3k 6.8×	489 1.1×	423 1.4×	230 0.8×	250	8.4k
Richard I. Levin United States	28	216 0.2×	418 0.9×	201 0.5×	167 0.6×	27 0.1×	65	4.3k
Selim Kılıç Türkiye	34	488 0.5×	774 1.6×	809 1.8×	27 0.1×	32 0.1×	220	4.6k
Changlin Mei China	45	1.5k 1.7×	732 1.5×	503 1.1×	12 0.0×	189 0.6×	289	8.5k
Γεώργιος Γιαννόπουλος Greece	42	366 0.4×	989 2.1×	464 1.0×	25 0.1×	57 0.2×	291	6.3k
Silvana Quaglini Italy	40	1.1k 1.2×	266 0.6×	548 1.2×	14 0.0×	16 0.1×	248	6.5k
Xun Tang China	26	136 0.1×	327 0.7×	598 1.3×	30 0.1×	13 0.0×	172	3.9k

Countries citing papers authored by Zhu Wang

Since Specialization

Citations

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

Fields of papers citing papers by Zhu Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhu Wang

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

Wang, Zhu, et al.. (2025). Trends in U.S. Adolescent and Young Adult Overdose Fatalities, 1999-2023. Journal of Adolescent Health. 77(5). 997–1000.

2.

Li, Haifeng, et al.. (2024). Association between peripheral eosinophilia, JESREC score, and olfactory dysfunction in patients with chronic rhinosinusitis. Frontiers in Immunology. 15. 1334656–1334656. 2 indexed citations

3.

Wang, Zhu & Tiejian Luo. (2024). A Scalable, Fault Resilient and Balanced Storage Architecture for Cyber-Physical Systems. 1–6. 1 indexed citations

4.

Li, Zhongxue, et al.. (2023). Study on the Law of Gas Transport and Influencing Factors of Coal and Gas Outburst. Solid Fuel Chemistry. 57(S1). S53–S61. 1 indexed citations

5.

Ding, Xin, et al.. (2023). Evaluating the Energy and Core Nutrients of Condiments in China. Nutrients. 15(20). 4346–4346. 1 indexed citations

6.

Robinson, Randal D., et al.. (2022). Impact of updated international diagnostic criteria for the diagnosis of polycystic ovary syndrome. F&S Reports. 4(2). 173–178. 14 indexed citations

7.

Han, Jiaqi, et al.. (2022). Cost-effectiveness analysis of metronomic capecitabine as adjuvant chemotherapy in locoregionally advanced nasopharyngeal carcinoma. Frontiers in Oncology. 12. 904372–904372. 7 indexed citations

8.

Wang, Zhu, et al.. (2020). Efficacy of Dairy Free Diet and 6-Food Elimination Diet as Initial Therapy for Pediatric Eosinophilic Esophagitis: A Retrospective Single-Center Study. Pediatric Gastroenterology Hepatology & Nutrition. 23(1). 79–79. 22 indexed citations

9.

Davey, Brooke, Robert W. Elder, Michelle M. Cloutier, et al.. (2019). T-Cell Receptor Excision Circles in Newborns with Congenital Heart Disease. The Journal of Pediatrics. 213. 96–102.e2. 7 indexed citations

10.

Li, Wei, Yang Huang, Guangjian Liu, et al.. (2018). Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis. European Radiology. 29(3). 1496–1506. 94 indexed citations

11.

Wang, Zhu, et al.. (2017). Should Platforms be Allowed to Charge Ad Valorem Fees?. 17(5). 1–35. 2 indexed citations

12.

Wang, Zhu, et al.. (2014). The Impact of the Durbin Amendment on Merchants: A Survey Study. SSRN Electronic Journal. 100(3). 183–208. 5 indexed citations

13.

Wang, Zhu & Luı́s Cabral. (2013). Spin-offs: Theory and Evidence from the Early U.S. Automobile Industry. RePEc: Research Papers in Economics.

14.

Wang, Zhu. (2012). Debit Card Interchange Fee Regulation:SomeAssessments and Considerations. SSRN Electronic Journal. 98. 159–182. 3 indexed citations

15.

Wang, Zhu. (2012). Multi-class HingeBoost. Methods of Information in Medicine. 51(2). 162–167. 11 indexed citations

16.

Wang, Zhu. (2010). Regulating Debit Cards: The Case of Ad Valorem Fees. Econometric Reviews. 95(1). 71–93. 5 indexed citations

17.

Wang, Zhu. (2010). Tests for Paired Lifetime Data with Frailty Models. Communication in Statistics- Theory and Methods. 39(17). 3122–3139.

18.

Wang, Zhu, et al.. (2010). Buckley-James Boosting for Survival Analysis with High-Dimensional Biomarker Data. Statistical Applications in Genetics and Molecular Biology. 9(1). Article24–Article24. 36 indexed citations

19.

Wang, Zhu. (2006). Online banking comes of age. RePEc: Research Papers in Economics. 22–25. 6 indexed citations

20.

Wang, Zhu. (2006). Technology Innovation and Market Turbulence: A Dotcom Example. RePEc: Research Papers in Economics. 1 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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