Suwan Long

487 total citations · 1 hit paper
19 papers, 328 citations indexed

About

Suwan Long is a scholar working on Economics and Econometrics, Finance and Information Systems. According to data from OpenAlex, Suwan Long has authored 19 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Economics and Econometrics, 8 papers in Finance and 7 papers in Information Systems. Recurrent topics in Suwan Long's work include Financial Markets and Investment Strategies (7 papers), Blockchain Technology Applications and Security (7 papers) and Market Dynamics and Volatility (6 papers). Suwan Long is often cited by papers focused on Financial Markets and Investment Strategies (7 papers), Blockchain Technology Applications and Security (7 papers) and Market Dynamics and Volatility (6 papers). Suwan Long collaborates with scholars based in Ireland, United Kingdom and China. Suwan Long's co-authors include Brian M. Lucey, Linh Pham, Muhammad Abubakr Naeem, Sitara Karim, Larisa Yarovaya, Ying Xie, Dayong Zhang, Satish Kumar, Zhiwei Zhang and Michael Dowling and has published in prestigious journals such as Risk Analysis, Journal of money credit and banking and Proceedings of the VLDB Endowment.

In The Last Decade

Suwan Long

14 papers receiving 310 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A tale of two tails among carbon prices, green and non-green cryptocurrencies

2022 141 citations Linh Pham, Sitara Karim et al. International Review of Financial Analysis profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Suwan Long Ireland	8	229	99	98	32	28	19	328
Imen Mbarki Russia	6	262 1.1×	110 1.1×	141 1.4×	19 0.6×	14 0.5×	6	312
Tahsin Saadi Sedik United States	8	122 0.5×	68 0.7×	108 1.1×	12 0.4×	32 1.1×	24	260
Ghiath Shabsigh United States	9	259 1.1×	46 0.5×	87 0.9×	18 0.6×	27 1.0×	16	417
Agata Kliber Poland	11	354 1.5×	229 2.3×	195 2.0×	29 0.9×	56 2.0×	49	507
Tobias Burggraf Germany	9	281 1.2×	154 1.6×	122 1.2×	30 0.9×	13 0.5×	13	332
Maurice Omane‐Adjepong South Africa	10	287 1.3×	180 1.8×	134 1.4×	13 0.4×	16 0.6×	18	343
Duy Duong Vietnam	8	224 1.0×	125 1.3×	102 1.0×	32 1.0×	24 0.9×	14	305
Muneer Shaik India	11	292 1.3×	55 0.6×	117 1.2×	23 0.7×	21 0.8×	36	344
Imtiaz Sifat Malaysia	11	253 1.1×	141 1.4×	153 1.6×	18 0.6×	33 1.2×	49	392
Burcu Kapar United Arab Emirates	10	248 1.1×	121 1.2×	128 1.3×	12 0.4×	11 0.4×	22	303

Countries citing papers authored by Suwan Long

Since Specialization

Citations

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

Fields of papers citing papers by Suwan Long

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suwan Long

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Long, Suwan, Ying Xie, Zhengyuan Zhou, Brian M. Lucey, & Andrew Urquhart. (2025). From whales to waves: Social media sentiment, volatility, and whales in cryptocurrency markets. The British Accounting Review. 101682–101682.

Dowling, Michael, et al.. (2025). Media amplification under the floodlight: Contextualizing 20 years of US risk news. Risk Analysis. 45(7). 1940–1956.

Dowling, Michael, et al.. (2024). FinSentGPT: A universal financial sentiment engine?. International Review of Financial Analysis. 94. 103291–103291. 9 indexed citations

Long, Suwan, Ying Xie, Zhengyuan Zhou, Brian M. Lucey, & Andrew Urquhart. (2024). From Whales to Waves: The Role of Social Media Sentiment in Shaping Cryptocurrency Markets. SSRN Electronic Journal. 1 indexed citations

Long, Suwan, et al.. (2024). Maximum k -Plex Search: An Alternated Reduction-and-Bound Method. Proceedings of the VLDB Endowment. 18(2). 363–376.

Long, Suwan, Ioannis Chatziantoniou, David Gabauer, & Brian M. Lucey. (2024). Do social media sentiments drive cryptocurrency intraday price volatility? New evidence from asymmetric TVP-VAR frequency connectedness measures. European Journal of Finance. 30(13). 1470–1489. 4 indexed citations

Long, Suwan, et al.. (2023). A comparative study of international and Chinese digitization from the perspective of mapping knowledge domains. International Review of Economics & Finance. 89. 93–113. 2 indexed citations

Dowling, Michael, et al.. (2023). EconSentGPT: A Universal Economic Sentiment Engine?. SSRN Electronic Journal. 2 indexed citations

Long, Suwan, et al.. (2023). Nonlinear asset pricing in Chinese stock market: A deep learning approach. International Review of Financial Analysis. 87. 102627–102627. 8 indexed citations

10.

Long, Suwan, Brian M. Lucey, Dayong Zhang, & Zhiwei Zhang. (2023). Negative elements of cryptocurrencies: Exploring the drivers of Bitcoin carbon footprints. Finance research letters. 58. 104031–104031. 9 indexed citations

11.

Long, Suwan, Brian M. Lucey, Satish Kumar, Dayong Zhang, & Zhiwei Zhang. (2022). Climate finance: What we know and what we should know?. 1. 100005–100005. 49 indexed citations

12.

Long, Suwan, Ioannis Chatziantoniou, David Gabauer, & Brian M. Lucey. (2022). Do Social Media Sentiments Drive Cryptocurrency Intraday Price Volatility? Evidence from Dynamic Return and Volatility Connectedness. SSRN Electronic Journal. 2 indexed citations

13.

Long, Suwan, Brian M. Lucey, Ying Xie, & Larisa Yarovaya. (2022). “I just like the stock”: The role of Reddit sentiment in the GameStop share rally. Financial Review. 58(1). 19–37. 46 indexed citations

14.

Pham, Linh, Sitara Karim, Muhammad Abubakr Naeem, & Suwan Long. (2022). A tale of two tails among carbon prices, green and non-green cryptocurrencies. International Review of Financial Analysis. 82. 102139–102139. 141 indexed citations breakdown →

15.

Lucey, Brian M., et al.. (2022). Towards a Research Agenda on the Financial Economics of NFT’s. SSRN Electronic Journal. 11 indexed citations

16.

Long, Suwan, et al.. (2022). Climate finance: What we know and what we should know?. SSRN Electronic Journal. 4 indexed citations

17.

Dowling, Michael, et al.. (2022). In Search of Infodemics: US Media Amplification of Risk. SSRN Electronic Journal. 1 indexed citations

18.

Long, Suwan, Brian M. Lucey, & Larisa Yarovaya. (2021). "I Just Like the Stock" versus "Fear and Loathing on Main Street" : The Role of Reddit Sentiment in the GameStop Short Squeeze. SSRN Electronic Journal. 38 indexed citations

19.

Long, Suwan, et al.. (1988). Alternative U. S. Monetary and Deficit Reduction Policies for the 1980s. Journal of money credit and banking. 20(3). 336–336. 1 indexed citations

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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