Weihua An

653 total citations
28 papers, 335 citations indexed

About

Weihua An is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Statistics and Probability. According to data from OpenAlex, Weihua An has authored 28 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Sociology and Political Science, 8 papers in Statistical and Nonlinear Physics and 7 papers in Statistics and Probability. Recurrent topics in Weihua An's work include Complex Network Analysis Techniques (8 papers), Social Capital and Networks (7 papers) and Advanced Causal Inference Techniques (7 papers). Weihua An is often cited by papers focused on Complex Network Analysis Techniques (8 papers), Social Capital and Networks (7 papers) and Advanced Causal Inference Techniques (7 papers). Weihua An collaborates with scholars based in United States, China and Canada. Weihua An's co-authors include Bruce Western, Christopher Winship, Matthew Desmond, Ying Ding, Tyler J. VanderWeele, Xuefu Wang, Adam Glynn, Bingfeng Zhou, Viola Vaccarino and Kevin C. Ward and has published in prestigious journals such as Social Forces, Annual Review of Sociology and BMC Public Health.

In The Last Decade

Weihua An

25 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Weihua An United States	11	147	68	56	41	38	28	335
Xu Lin United States	7	162 1.1×	187 2.8×	28 0.5×	33 0.8×	143 3.8×	11	440
Bella Struminskaya Netherlands	10	411 2.8×	66 1.0×	51 0.9×	11 0.3×	9 0.2×	29	621
Marco Meyer Germany	10	123 0.8×	41 0.6×	35 0.6×	5 0.1×	10 0.3×	33	345
Howard Bloom United States	7	77 0.5×	67 1.0×	73 1.3×	16 0.4×	128 3.4×	11	335
Terry Murray United States	4	67 0.5×	67 1.0×	8 0.1×	19 0.5×	22 0.6×	7	341
Andrew Forney United States	6	80 0.5×	79 1.2×	58 1.0×	4 0.1×	12 0.3×	8	403
Allison C. Morgan United States	7	114 0.8×	44 0.6×	6 0.1×	24 0.6×	60 1.6×	10	553
David McElhattan United States	5	316 2.1×	41 0.6×	10 0.2×	8 0.2×	10 0.3×	7	476
Hans Waege Belgium	7	178 1.2×	26 0.4×	6 0.1×	28 0.7×	18 0.5×	22	301
Ingar Haaland Norway	12	288 2.0×	198 2.9×	9 0.2×	22 0.5×	22 0.6×	33	595

Countries citing papers authored by Weihua An

Since Specialization

Citations

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

Fields of papers citing papers by Weihua An

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weihua An

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

Guan, Yue, Colleen M. McBride, Jingsong Zhao, et al.. (2024). Testing a Population-Based Outreach Intervention for Ovarian Cancer Survivors to Encourage their Close Relatives to Consider Genetic Counseling. Cancer Epidemiology Biomarkers & Prevention. 33(9). 1185–1193.

Shao, Iris Yuefan, Shakira F. Suglia, Weihua An, et al.. (2023). Characterization of trajectories of physical activity and cigarette smoking from early adolescence to adulthood. BMC Public Health. 23(1). 2473–2473. 2 indexed citations

Allen, Caitlin G., et al.. (2023). Developing and assessing a kin keeping scale with application to identifying central influencers in African American family networks. Journal of Community Genetics. 14(6). 593–603.

Browne, Irene, et al.. (2023). Race, State Surveillance, and Policy Spillover: Do Restrictive Immigration Policies Affect Citizen Earnings?. Social Forces. 102(2). 681–705. 1 indexed citations

An, Weihua. (2022). Comparing Egocentric and Sociocentric Centrality Measures in Directed Networks. Sociological Methods & Research. 53(3). 1290–1318.

An, Weihua. (2021). Fear Not Scarcity but Inequality, Not Poverty but Instability. Sociological Methods & Research. 50(3). 939–943. 4 indexed citations

An, Weihua & Bruce Western. (2019). Social capital in the creation of cultural capital: Family structure, neighborhood cohesion, and extracurricular participation. Social Science Research. 81. 192–208. 37 indexed citations

An, Weihua. (2019). A Teaching Software of Chinese Character Structural Layout Based on Mobile Device. DEStech Transactions on Social Science Education and Human Science. 1 indexed citations

An, Weihua & Adam Glynn. (2019). Treatment Effect Deviation as an Alternative to Blinder–Oaxaca Decomposition for Studying Social Inequality. Sociological Methods & Research. 50(3). 1006–1033. 4 indexed citations

10.

An, Weihua & Tyler J. VanderWeele. (2019). Opening the Blackbox of Treatment Interference: Tracing Treatment Diffusion through Network Analysis. Sociological Methods & Research. 51(1). 141–164. 7 indexed citations

11.

An, Weihua, et al.. (2017). Do higher government wages induce less corruption? Cross-country panel evidence. Journal of Policy Modeling. 39(5). 809–826. 30 indexed citations

12.

An, Weihua & Ying Ding. (2017). The Landscape of Causal Inference: Perspective From Citation Network Analysis. The American Statistician. 72(3). 265–277. 7 indexed citations

13.

An, Weihua, et al.. (2017). Mind the gap: Disparity in redistributive preference between political elites and the public in China. European Journal of Political Economy. 50. 75–91. 20 indexed citations

14.

An, Weihua. (2016). Fitting ERGMs on big networks. Social Science Research. 59. 107–119. 23 indexed citations

15.

An, Weihua & Xuefu Wang. (2016). LARF: Instrumental Variable Estimation of Causal Effects through Local Average Response Functions. Journal of Statistical Software. 71(Code Snippet 1). 5 indexed citations

16.

An, Weihua, et al.. (2016). keyplayer: An R Package for Locating Key Players in Social Networks. The R Journal. 8(1). 257–257. 38 indexed citations

17.

An, Weihua, et al.. (2015). The origins of asymmetric ties in friendship networks: From status differential to self-perceived centrality. Network Science. 3(2). 269–292. 17 indexed citations

18.

An, Weihua & Christopher Winship. (2015). Causal Inference in Panel Data With Application to Estimating Race-of-Interviewer Effects in the General Social Survey. Sociological Methods & Research. 46(1). 68–102. 22 indexed citations

19.

An, Weihua, et al.. (2014). Analysis of contested reports in exchange networks based on actors’ credibility. Social Networks. 40. 25–33. 10 indexed citations

20.

An, Weihua & Bingfeng Zhou. (2004). A simple and efficient approach for creating cylindrical panorama. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5444. 123–123. 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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