Xiaogang Wu

6.1k total citations · 2 hit papers
147 papers, 3.9k citations indexed

About

Xiaogang Wu is a scholar working on Sociology and Political Science, Political Science and International Relations and Demography. According to data from OpenAlex, Xiaogang Wu has authored 147 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Sociology and Political Science, 56 papers in Political Science and International Relations and 18 papers in Demography. Recurrent topics in Xiaogang Wu's work include China's Socioeconomic Reforms and Governance (49 papers), Migration and Labor Dynamics (22 papers) and Intergenerational and Educational Inequality Studies (18 papers). Xiaogang Wu is often cited by papers focused on China's Socioeconomic Reforms and Governance (49 papers), Migration and Labor Dynamics (22 papers) and Intergenerational and Educational Inequality Studies (18 papers). Xiaogang Wu collaborates with scholars based in Hong Kong, China and United States. Xiaogang Wu's co-authors include Donald J. Treiman, Guangye He, Yu Xie, Jia Miao, Zhuoni Zhang, Yingchun Ji, Shengwei Sun, Yongnian Zheng, Anning Hu and Jun Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and American Sociological Review.

In The Last Decade

Xiaogang Wu

136 papers receiving 3.7k citations

Hit Papers

The household registration system and social stratificati... 2004 2026 2011 2018 2004 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaogang Wu Hong Kong 34 2.4k 1.2k 635 578 514 147 3.9k
Claire Wallace United Kingdom 30 2.0k 0.8× 771 0.7× 343 0.5× 267 0.5× 277 0.5× 154 3.6k
Albert Park United States 31 1.4k 0.6× 927 0.8× 402 0.6× 248 0.4× 152 0.3× 113 3.7k
Frank P. Stafford United States 32 1.9k 0.8× 249 0.2× 572 0.9× 1.4k 2.3× 274 0.5× 102 5.1k
Dora L. Costa United States 28 1.4k 0.6× 256 0.2× 588 0.9× 437 0.8× 376 0.7× 72 3.4k
Marco Francesconi United Kingdom 31 1.4k 0.6× 246 0.2× 902 1.4× 1.1k 1.9× 198 0.4× 126 3.6k
Carina Mood Sweden 18 1.8k 0.7× 452 0.4× 406 0.6× 323 0.6× 443 0.9× 35 3.1k
Andrew Leigh Australia 35 2.2k 0.9× 724 0.6× 437 0.7× 636 1.1× 347 0.7× 206 4.5k
Dominik Hangartner Switzerland 26 2.8k 1.2× 1.2k 1.0× 271 0.4× 261 0.5× 114 0.2× 78 4.1k
Gary Solon United States 32 3.2k 1.3× 574 0.5× 533 0.8× 618 1.1× 493 1.0× 59 5.7k
Patrick Kline United States 24 2.4k 1.0× 730 0.6× 401 0.6× 577 1.0× 301 0.6× 47 6.0k

Countries citing papers authored by Xiaogang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaogang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaogang Wu

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

All Works

20 of 20 papers shown
1.
Wu, Xiaogang, et al.. (2025). Public housing and neighborhood composition in Hong Kong, 1981–2016. Social Science Research. 133. 103276–103276.
2.
Wu, Xiaogang, Xin Li, & Jia Miao. (2024). Early Childhood Development and Social Mobility in China. ECNU Review of Education. 7(4). 991–1008. 2 indexed citations
3.
Wu, Xiaogang, et al.. (2023). Income, deprivation, and social exclusion: toward a comprehensive poverty measurement in Hong Kong. Journal of Asian Public Policy. 18(1). 99–120. 3 indexed citations
4.
Wu, Xiaogang, et al.. (2022). Separate and unequal: hukou, school segregation, and educational inequality in urban China. Chinese Sociological Review. 54(5). 433–457. 35 indexed citations
5.
Wu, Xiaogang, et al.. (2022). Neighborhood collective efficacy in stressful events: The stress-buffering effect. Social Science & Medicine. 306. 115154–115154. 11 indexed citations
6.
Miao, Jia, et al.. (2022). Promoting ageing in place in Hong Kong: neighbourhood social environment and depression among older adults. Journal of Asian Public Policy. 17(1). 142–159. 17 indexed citations
7.
Tang, Tao, Weiheng Jiang, Jiangtian Nie, et al.. (2022). GM(1,1) based improved seasonal index model for monthly electricity consumption forecasting. Energy. 252. 124041–124041. 40 indexed citations
8.
Hu, Anning & Xiaogang Wu. (2021). Cultural capital and elite university attendance in China. British Journal of Sociology of Education. 42(8). 1265–1293. 21 indexed citations
9.
Hu, Anning, Xiaogang Wu, & Tao Chen. (2021). Changing subjective wellbeing across the college life: survey evidence from China. Chinese Sociological Review. 53(4). 409–429. 5 indexed citations
10.
Chen, Juan, et al.. (2019). Effects of Neighborhood Discrimination Towards Mainland Immigrants on Mental Health in Hong Kong. International Journal of Environmental Research and Public Health. 16(6). 1025–1025. 2 indexed citations
11.
Wu, Xiaogang, et al.. (2019). Housing and Subjective Class Identification in Urban China. Chinese Sociological Review. 51(3). 221–250. 23 indexed citations
12.
Ji, Yingchun & Xiaogang Wu. (2018). New Gender Dynamics in Post-Reform China: Family, Education, and Labor Market. Chinese Sociological Review. 50(3). 231–239. 38 indexed citations
13.
Wu, Xiaogang & Guangye He. (2018). Ethnic Autonomy and Ethnic Inequality: An Empirical Assessment of Ethnic Policy in Urban China*. Project Muse (Johns Hopkins University). 18(2). 185–215. 19 indexed citations
14.
Wu, Xiaogang, et al.. (2018). Social Policy and Political Trust: Evidence from the New Rural Pension Scheme in China. The China Quarterly. 235. 644–668. 27 indexed citations
15.
Miao, Jia, et al.. (2018). Neighborhood, social cohesion, and the Elderly's depression in Shanghai. Social Science & Medicine. 229. 134–143. 114 indexed citations
16.
He, Xiaoli, Jody Fronheiser, Pei Zhao, et al.. (2017). Impact of aggressive fin width scaling on FinFET device characteristics. 20.2.1–20.2.4. 41 indexed citations
17.
Hu, Anning & Xiaogang Wu. (2017). Science or liberal arts? Cultural capital and college major choice in China. British Journal of Sociology. 70(1). 190–213. 43 indexed citations
18.
Wu, Xiaogang & Zhuoni Zhang. (2015). Population migration and children’s school enrollments in China, 1990–2005. Social Science Research. 53. 177–190. 61 indexed citations
19.
Wu, Xiaogang, et al.. (2014). Socialist China, capitalist China. Routledge eBooks. 2 indexed citations
20.
Wu, Xiaogang. (2002). Embracing the Market: Entry into Self-Employment in Transitional China, 1978-1996. Deep Blue (University of Michigan). 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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