Lin William Cong

6.4k citations
145 papers · 2.5k indexed · 3 hit papers · h-index 20

Impact in

Papers in

Lin William Cong

125 papers receiving 2.4k citations

Hit Papers

Decentralized Mining in Centralized Pools 2020 · 172 citations
1722019202620212023200400600

Peers

Lin William Cong
Comparison fields: 5 of 135
  • Finance 705
  • Management Information Systems 494
  • Information Systems 1.1k
  • Accounting 490
  • Economics and Econometrics 876
Replace Dirk Schiereck with:
Dirk Schiereck Germany
Peter Gomber Germany
Wilko Bolt Netherlands
Paolo Tasca United Kingdom
Lennart Ante Germany
Maytal Saar‐Tsechansky United States
Jonathan Crook United Kingdom
Jeffrey K. MacKie–Mason United States
Michel Benaroch United States
Brian L. Dos Santos 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
#Work
1 20254
2 202510
3 20254
4 20250
5 20251
6 20240
7 202412
8 20240
9 202419
10 202334
11 20235
12 20235
13 2021117
14 20219
15 202015
16
Listing Delays and Innovation: Evidence from Chinese IPOs
20182
17
Real Options, Business Valuation, and Dynamic Decisions
20170
18
The Impact of Delay in Going Public: Evidence from China
20172
19
How Public Markets Foster Firm Standardization: Evidence from Chinese IPOs
20173
20
Technology of Hacker's Attack Based on Trojan
20080

About Lin William Cong

Lin William Cong is a scholar working on Finance, Management Information Systems, Accounting, Management Science and Operations Research and Information Systems, having authored 145 papers that have together received 2.5k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (30 papers), Corporate Finance and Governance (19 papers), Auction Theory and Applications (19 papers), FinTech, Crowdfunding, Digital Finance (17 papers), Financial Markets and Investment Strategies (16 papers), Digital Platforms and Economics (12 papers), Economic theories and models (11 papers) and Private Equity and Venture Capital (10 papers). The work is most often cited by research in Finance (705 citations), Management Information Systems (494 citations), Information Systems (1.1k citations), Accounting (490 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, Danxia Xie, Sabrina T Howell, Ye Li and Ehud Lavi. 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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