Mimi Zhang

58 papers receiving 2.0k citations

Hit Papers

Twitter power: Tweets as electronic word of mouth 2009 · 1.1k citations
1.1k0+5+11Years since publication2505007501000

Peers

Mimi Zhang
Comparison fields: 5 of 163
  • Communication 330
  • Marketing 296
  • Information Systems and Management 215
  • Software 97
  • Safety, Risk, Reliability and Quality 230
Replace Yuqiang Feng with:
Yuqiang Feng China
David Mimno United States
Luning Liu China
Yong Jin Park South Korea
Michael K. Buckland United States
Stephen Shaoyi Liao Hong Kong
Thomas Novak United States
Miguel‐Ángel Sicilia Spain
Roy Rada United States
Meng Ma China
Mimi Zhang relative to Yuqiang Feng China Yuqiang Feng's profile →
Citations per field
00.5×10×15×19.4×
Yuqiang Feng · 1×
Citations per year

Countries citing papers authored by Mimi Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Mimi Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mimi Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mimi Zhang Line = papers co-authored together Mimi Zhang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Twitter power: Tweets as electronic word of mouth
Hit paper breakdown →
20091109
2 2015117
3 2011113
4 200990
5 202160
6 201447
7 202144
8 201138
9 201938
10 202132
11 201329
12 200926
13 200725
14 201324
15 202221
16 202318
17 200717
18 200817
19 201617
20 201616

About Mimi Zhang

Mimi Zhang is a scholar working on Artificial Intelligence, Sociology and Political Science, Safety, Risk, Reliability and Quality, Statistics and Probability and Information Systems, having authored 68 papers that have together received 2.1k indexed citations. Recurring topics across this work include Digital Marketing and Social Media (11 papers), Reliability and Maintenance Optimization (9 papers), Information Retrieval and Search Behavior (7 papers), Advanced Clustering Algorithms Research (6 papers), Statistical Distribution Estimation and Applications (6 papers), Genomics and Phylogenetic Studies (3 papers), Consumer Market Behavior and Pricing (3 papers) and Software Reliability and Analysis Research (3 papers). The work is most often cited by research in Communication (330 citations), Marketing (296 citations), Information Systems and Management (215 citations), Software (97 citations) and Safety, Risk, Reliability and Quality (230 citations). Mimi Zhang has collaborated with scholars based in China, Ireland and United States. Frequent co-authors include Bernard J. Jansen, Min Xie, Olivier Gaudoin, Abdur Chowdhury, Zhi‐Sheng Ye, Amanda Spink, Carsten D. Schultz, Xin‐gang Sun, John Magorrian and Gaiqing Wang. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, IEEE Transactions on Reliability, Computational Statistics & Data Analysis, International Journal of Arts and Technology and Journal of Materials Research and Technology.

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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