Eric Zeng

507 total citations
11 papers, 255 citations indexed

About

Eric Zeng is a scholar working on Sociology and Political Science, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Eric Zeng has authored 11 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Sociology and Political Science, 3 papers in Information Systems and 2 papers in Computer Networks and Communications. Recurrent topics in Eric Zeng's work include User Authentication and Security Systems (3 papers), Digital Marketing and Social Media (2 papers) and Technology Adoption and User Behaviour (2 papers). Eric Zeng is often cited by papers focused on User Authentication and Security Systems (3 papers), Digital Marketing and Social Media (2 papers) and Technology Adoption and User Behaviour (2 papers). Eric Zeng collaborates with scholars based in United States and Switzerland. Eric Zeng's co-authors include Franziska Roesner, Shrirang Mare, Tadayoshi Kohno, Emily Stark, Adrienne Porter Felt, Frank Li, Parisa Tabriz, Yoosook Lee, Lindsay P. Campbell and Jungkyo Jung and has published in prestigious journals such as Pathogens, USENIX Security Symposium and Symposium On Usable Privacy and Security.

In The Last Decade

Eric Zeng

11 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eric Zeng United States	9	150	85	69	40	40	11	255
Nitin Gupta India	7	93 0.6×	85 1.0×	94 1.4×	73 1.8×	31 0.8×	18	296
Madiha Tabassum United States	9	117 0.8×	94 1.1×	76 1.1×	61 1.5×	40 1.0×	12	278
Irwin Reyes United States	8	193 1.3×	103 1.2×	74 1.1×	21 0.5×	27 0.7×	13	284
Saurabh Panjwani India	9	71 0.5×	106 1.2×	57 0.8×	50 1.3×	19 0.5×	15	211
Daniel Smullen United States	9	249 1.7×	140 1.6×	145 2.1×	19 0.5×	31 0.8×	11	317
Sai Teja Peddinti United States	10	133 0.9×	96 1.1×	113 1.6×	32 0.8×	14 0.3×	19	263
Robert Templeman United States	7	135 0.9×	85 1.0×	92 1.3×	35 0.9×	127 3.2×	8	378
Maryam Mehrnezhad United Kingdom	12	137 0.9×	147 1.7×	100 1.4×	50 1.3×	72 1.8×	33	352
Sarah Pearman United States	8	191 1.3×	158 1.9×	67 1.0×	19 0.5×	51 1.3×	9	289
Kambiz Ghazinour United States	11	139 0.9×	96 1.1×	128 1.9×	43 1.1×	12 0.3×	42	268

Countries citing papers authored by Eric Zeng

Since Specialization

Citations

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

Fields of papers citing papers by Eric Zeng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Zeng

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

All Works

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11 of 11 papers shown

1.

Wu, Xiao‐Yuan, Longfei Hu, Eric Zeng, Hana Habib, & Lujo Bauer. (2025). Transparency or Information Overload? Evaluating Users' Comprehension and Perceptions of the iOS App Privacy Report. 1 indexed citations

2.

Yang, Huanrui, et al.. (2024). A Deep-Learning-Based Multi-modal ECG and PCG Processing Framework for Label Efficient Heart Sound Segmentation. 109–119. 1 indexed citations

3.

Zeng, Eric, et al.. (2022). What factors affect targeting and bids in online advertising?. 210–229. 8 indexed citations

4.

Zeng, Eric, et al.. (2021). Mosquito Control Priorities in Florida—Survey Results from Florida Mosquito Control Districts. Pathogens. 10(8). 947–947. 8 indexed citations

5.

Zeng, Eric, et al.. (2021). Polls, clickbait, and commemorative $2 bills. 507–525. 13 indexed citations

6.

Zeng, Eric, Tadayoshi Kohno, & Franziska Roesner. (2021). What Makes a “Bad” Ad? User Perceptions of Problematic Online Advertising. 1–24. 33 indexed citations

7.

Xie, Boyi, et al.. (2020). Machine Learning on Satellite Radar Images to Estimate Damages After Natural Disasters. 461–464. 10 indexed citations

8.

Zeng, Eric & Franziska Roesner. (2019). Understanding and Improving Security and Privacy in {Multi-User} Smart Homes: A Design Exploration and {In-Home} User Study. USENIX Security Symposium. 159–176. 53 indexed citations

9.

Zeng, Eric, Frank Li, Emily Stark, Adrienne Porter Felt, & Parisa Tabriz. (2019). Fixing HTTPS Misconfigurations at Scale: An Experiment with Security Notifications. 9 indexed citations

10.

Zeng, Eric, Shrirang Mare, & Franziska Roesner. (2017). End User Security and Privacy Concerns with Smart Homes. Symposium On Usable Privacy and Security. 65–80. 93 indexed citations

11.

Zeng, Eric, et al.. (2017). Confidante: Usable Encrypted Email: A Case Study with Lawyers and Journalists. 385–400. 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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