Sherry He

1.1k total citations
11 papers, 485 citations indexed

About

Sherry He is a scholar working on Information Systems, Sociology and Political Science and Molecular Biology. According to data from OpenAlex, Sherry He has authored 11 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems, 4 papers in Sociology and Political Science and 3 papers in Molecular Biology. Recurrent topics in Sherry He's work include Spam and Phishing Detection (6 papers), Misinformation and Its Impacts (3 papers) and Media Influence and Politics (2 papers). Sherry He is often cited by papers focused on Spam and Phishing Detection (6 papers), Misinformation and Its Impacts (3 papers) and Media Influence and Politics (2 papers). Sherry He collaborates with scholars based in United States and United Kingdom. Sherry He's co-authors include Edward B. Klem, Richard H. Scheuermann, Seth Kaufman, Brett E Pickett, Terri Schwartz, Mark A. Miller, Maureen A. O’Leary, Brett Hollenbeck, Davide Proserpio and Alexandra Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Bioinformatics and Communications of the ACM.

In The Last Decade

Sherry He

11 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sherry He United States	6	159	122	110	82	66	11	485
Jean-Baka Domelevo Entfellner Kenya	12	322 2.0×	130 1.1×	217 2.0×	105 1.3×	139 2.1×	28	778
Shuang Xing China	16	213 1.3×	157 1.3×	57 0.5×	131 1.6×	115 1.7×	74	795
Masoud Alipour Switzerland	2	307 1.9×	183 1.5×	189 1.7×	163 2.0×	136 2.1×	2	718
Nicholas D. Pattengale United States	6	360 2.3×	194 1.6×	202 1.8×	169 2.1×	172 2.6×	15	836
David Alvarez‐Ponce United States	17	601 3.8×	52 0.4×	99 0.9×	114 1.4×	226 3.4×	46	860
Étienne Kornobis France	14	253 1.6×	36 0.3×	59 0.5×	104 1.3×	74 1.1×	32	502
Cheng‐Min Shi China	13	149 0.9×	61 0.5×	84 0.8×	59 0.7×	204 3.1×	31	400
Urmi Trivedi United Kingdom	18	403 2.5×	109 0.9×	200 1.8×	189 2.3×	335 5.1×	28	984
Ikunari Kiryu Japan	18	120 0.8×	27 0.2×	23 0.2×	146 1.8×	48 0.7×	46	864
Anthony Aylward United States	9	228 1.4×	72 0.6×	77 0.7×	77 0.9×	163 2.5×	13	563

Countries citing papers authored by Sherry He

Since Specialization

Citations

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

Fields of papers citing papers by Sherry He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sherry He

This figure shows the co-authorship network connecting the top 25 collaborators of Sherry He. A scholar is included among the top collaborators of Sherry He 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 Sherry He. Sherry He 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:

11 of 11 papers shown

1.

He, Sherry, Brett Hollenbeck, & Davide Proserpio. (2023). Leveraging Social Media to Buy Fake Reviews. Communications of the ACM. 66(10). 98–105. 1 indexed citations

2.

He, Sherry, et al.. (2022). Detecting fake-review buyers using network structure: Direct evidence from Amazon. Proceedings of the National Academy of Sciences. 119(47). e2211932119–e2211932119. 13 indexed citations

3.

He, Sherry, Eileen Graf, Robert J. Webber, et al.. (2022). Assessing Efficacy and Benefit of a Behavioral Math Talk Intervention for Caregivers of Young Children. Child & Youth Care Forum. 51(6). 1155–1173. 2 indexed citations

4.

He, Sherry, et al.. (2022). Detecting Fake Review Buyers Using Network Structure: Direct Evidence from Amazon. SSRN Electronic Journal. 7 indexed citations

5.

He, Sherry, Brett Hollenbeck, & Davide Proserpio. (2021). Exploiting social media for fake reviews. ACM SIGecom Exchanges. 19(2). 68–74. 2 indexed citations

6.

He, Sherry, Brett Hollenbeck, & Davide Proserpio. (2021). The Market for Fake Reviews. 588–588. 13 indexed citations

7.

He, Sherry, Brett Hollenbeck, & Davide Proserpio. (2020). The Market for Fake Reviews. SSRN Electronic Journal. 15 indexed citations

8.

He, Sherry & Brett Hollenbeck. (2020). Sales and Rank on Amazon.com. SSRN Electronic Journal. 3 indexed citations

9.

Larsen, Christopher N., Guangyu Sun, Xiaomei Li, et al.. (2019). Mat_peptide: comprehensive annotation of mature peptides from polyproteins in five virus families. Bioinformatics. 36(5). 1627–1628. 2 indexed citations

10.

Zhang, Yun, Jing Cao, Song Zhang, et al.. (2016). Genetic changes found in a distinct clade of Enterovirus D68 associated with paralysis during the 2014 outbreak. Virus Evolution. 2(1). vew015–vew015. 42 indexed citations

11.

Miller, Mark A., Terri Schwartz, Brett E Pickett, et al.. (2015). A RESTful API for Access to Phylogenetic Tools via the CIPRES Science Gateway. Evolutionary Bioinformatics. 11. 43–8. 385 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.

Explore authors with similar magnitude of impact