How censorship in China allows government criticism but silences collective expression G King, J Pan, ME Roberts American political science Review 107 (2), 326-343, 2013 | 2946 | 2013 |
How the Chinese government fabricates social media posts for strategic distraction, not engaged argument G King, J Pan, ME Roberts American political science review 111 (3), 484-501, 2017 | 1231 | 2017 |
Reverse-engineering censorship in China: Randomized experimentation and participant observation G King, J Pan, ME Roberts Science 345 (6199), 1251722, 2014 | 573 | 2014 |
Sources of authoritarian responsiveness: A field experiment in China J Chen, J Pan, Y Xu American journal of political science 60 (2), 383-400, 2016 | 549 | 2016 |
China’s ideological spectrum J Pan, Y Xu The Journal of Politics 80 (1), 254-273, 2018 | 300 | 2018 |
Conditional receptivity to citizen participation: Evidence from a survey experiment in China T Meng, J Pan, P Yang Comparative Political Studies 50 (4), 399-433, 2017 | 252 | 2017 |
Current progress of China's free ART program FJ Zhang, J Pan, L Yu, Y Wen, Y Zhao Cell research 15 (11), 877-882, 2005 | 205* | 2005 |
CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media (vol 49, pg 1, 2019) H Zhang, J Pan SOCIOLOGICAL METHODOLOGY, VOL 49 49, NP3-NP3, 2019 | 203* | 2019 |
Screenomics: A Framework to Capture and Analyze Personal Life Experiences and the Ways that Technology Shapes Them B Reeves, N Ram, TN Robinson, JJ Cummings, CL Giles, J Pan, A Chiatti, ... Human–Computer Interaction 36 (2), 150-201, 2021 | 159 | 2021 |
Framing and agenda-setting in Russian news: a computational analysis of intricate political strategies A Field, D Kliger, S Wintner, J Pan, D Jurafsky, Y Tsvetkov arXiv preprint arXiv:1808.09386, 2018 | 139 | 2018 |
How Saudi crackdowns fail to silence online dissent J Pan, AA Siegel American Political Science Review 114 (1), 109-125, 2020 | 136 | 2020 |
Welfare for autocrats: How social assistance in China cares for its rulers J Pan Oxford University Press, USA, 2020 | 112* | 2020 |
No! Formal theory, causal inference, and big data are not contradictory trends in political science BL Monroe, J Pan, ME Roberts, M Sen, B Sinclair PS: Political Science & Politics 48 (1), 71-74, 2015 | 109 | 2015 |
Concealing corruption: How Chinese officials distort upward reporting of online grievances J Pan, K Chen American Political Science Review 112 (3), 602-620, 2018 | 105 | 2018 |
Like-minded sources on Facebook are prevalent but not polarizing B Nyhan, J Settle, E Thorson, M Wojcieszak, P Barberá, AY Chen, ... Nature 620 (7972), 137-144, 2023 | 104 | 2023 |
Capturing clicks: How the Chinese government uses clickbait to compete for visibility Y Lu, J Pan Political Communication 38 (1-2), 23-54, 2021 | 101 | 2021 |
Asymmetric ideological segregation in exposure to political news on Facebook S González-Bailón, D Lazer, P Barberá, M Zhang, H Allcott, T Brown, ... Science 381 (6656), 392-398, 2023 | 96 | 2023 |
How do social media feed algorithms affect attitudes and behavior in an election campaign? AM Guess, N Malhotra, J Pan, P Barberá, H Allcott, T Brown, ... Science 381 (6656), 398-404, 2023 | 94 | 2023 |
The digital repression of social movements, protest, and activism: A synthetic review J Earl, TV Maher, J Pan Science Advances 8 (10), eabl8198, 2022 | 91 | 2022 |
How market dynamics of domestic and foreign social media firms shape strategies of internet censorship J Pan Problems of Post-Communism 64 (3-4), 167-188, 2017 | 86 | 2017 |