Huang Ming

23 total papers · 551 total citations
2 papers, 358 citations indexed

About

Huang Ming is a scholar working on Finance, General Economics, Econometrics and Finance and General Decision Sciences. According to data from OpenAlex, Huang Ming has authored 2 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Finance, 1 paper in General Economics, Econometrics and Finance and 1 paper in General Decision Sciences. Recurrent topics in Huang Ming's work include Decision-Making and Behavioral Economics (1 paper), Financial Markets and Investment Strategies (1 paper) and Monetary Policy and Economic Impact (1 paper). Huang Ming is often cited by papers focused on Decision-Making and Behavioral Economics (1 paper), Financial Markets and Investment Strategies (1 paper) and Monetary Policy and Economic Impact (1 paper). Huang Ming collaborates with scholars based in United States and China. Huang Ming's co-authors include Nicholas Barberis and Richard H. Thaler and has published in prestigious journals such as American Economic Review.

In The Last Decade

Huang Ming

2 papers receiving 340 citations

Hit Papers

Individual Preferences, M... 2006 2026 2012 2019 2006 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Huang Ming 241 195 139 133 46 2 358
Michael M. Pompian 109 0.5× 177 0.9× 82 0.6× 197 1.5× 7 0.2× 6 330
Paul B. Andreassen 184 0.8× 242 1.2× 126 0.9× 98 0.7× 42 0.9× 8 366
Diane K. Schooley 153 0.6× 122 0.6× 56 0.4× 281 2.1× 10 0.2× 8 383
Daniel Deneffe 256 1.1× 30 0.2× 237 1.7× 25 0.2× 71 1.5× 8 380
Wen-I Chuang 250 1.0× 326 1.7× 36 0.3× 157 1.2× 10 0.2× 10 394
Ranoua Bouchouicha 157 0.7× 32 0.2× 120 0.9× 38 0.3× 72 1.6× 8 307
Mohammad Isaqzadeh 116 0.5× 32 0.2× 93 0.7× 50 0.4× 96 2.1× 5 385
Ariel Rubinstein 242 1.0× 44 0.2× 28 0.2× 34 0.3× 87 1.9× 6 354
Rick Cooper 78 0.3× 262 1.3× 12 0.1× 224 1.7× 26 0.6× 7 332
Dennis E. Smallwood 174 0.7× 41 0.2× 10 0.1× 35 0.3× 16 0.3× 9 379

Countries citing papers authored by Huang Ming

Since Specialization
Citations

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

Fields of papers citing papers by Huang Ming

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huang Ming

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

All Works

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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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