Lin William Cong

6.6k citations
141 papers · 2.6k · 3 hit papers · h-index 21

Impact in

Papers in

Lin William Cong

126 papers receiving 2.5k citations

Lin William Cong's Hit Papers

Decentralized Mining in Centralized Pools 2020 · 177 citations
1770+2+4Years since publication200400600

Peers

Lin William Cong
Comparison fields: 5 of 128
  • Finance 699
  • Management Information Systems 510
  • Information Systems 1.1k
  • Accounting 498
  • Economics and Econometrics 876
Replace Dirk Schiereck with:
Dirk Schiereck Germany
Peter Gomber Germany
Wilko Bolt Netherlands
Lennart Ante Germany
Paolo Tasca United Kingdom
Maytal Saar‐Tsechansky United States
Jeffrey K. MacKie–Mason United States
Jonathan Crook United Kingdom
Christian Catalini United States
James E. Short United States
Lin William Cong relative to Dirk Schiereck Germany Dirk Schiereck's profile →
Citations per field
00.5×
Dirk Schiereck · 1×
Citations per year

Countries citing papers authored by Lin William Cong

Since Specialization
Citations

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

Fields of papers citing papers by Lin William Cong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lin William Cong. 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 Lin William Cong. The network helps show where Lin William Cong may publish in the future.

Co-authors

The 25 scholars most cited alongside Lin William Cong, 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 Lin William Cong Line = papers co-authored together Lin William Cong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 141 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Blockchain Disruption and Smart Contracts
Hit paper breakdown →
2019662
2
Credit Allocation Under Economic Stimulus: Evidence from China
Hit paper breakdown →
2019309
3
Decentralized Mining in Centralized Pools
Hit paper breakdown →
2020177
4 2021129
5 2021116
6 202178
7 201658
8 201852
9 202047
10 201740
11 201835
12 201633
13 201832
14 202131
15 202231
16 202328
17 202027
18 202424
19 201824
20 202322

About Lin William Cong

Lin William Cong is a scholar working on Economics and Econometrics, Information Systems, Finance, Management Science and Operations Research and Accounting, having authored 141 papers that have together received 2.6k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (29 papers), Auction Theory and Applications (19 papers), Corporate Finance and Governance (19 papers), FinTech, Crowdfunding, Digital Finance (17 papers), Financial Markets and Investment Strategies (15 papers), Digital Platforms and Economics (12 papers), Economic theories and models (11 papers) and Banking stability, regulation, efficiency (10 papers). The work is most often cited by research in Finance (699 citations), Management Information Systems (510 citations), Information Systems (1.1k citations), Accounting (498 citations) and Economics and Econometrics (876 citations). Lin William Cong has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Zhiguo He, Jacopo Ponticelli, Xiaoguang Yang, Haoyu Gao, Jiasun Li, Neng Wang, Longtian Zhang, Danxia Xie, Sabrina T Howell and Ye Li. Their work appears in journals such as Management Science, Journal of Financial Economics, Review of Financial Studies, Applied Sciences and Journal of Molecular Diagnostics.

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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