Wai‐Mun Chia

62 total papers · 574 total citations
33 papers, 385 citations indexed

About

Wai‐Mun Chia is a scholar working on Economics and Econometrics, Finance and General Economics, Econometrics and Finance. According to data from OpenAlex, Wai‐Mun Chia has authored 33 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Economics and Econometrics, 18 papers in Finance and 17 papers in General Economics, Econometrics and Finance. Recurrent topics in Wai‐Mun Chia's work include Global Financial Crisis and Policies (10 papers), Monetary Policy and Economic Impact (10 papers) and Market Dynamics and Volatility (7 papers). Wai‐Mun Chia is often cited by papers focused on Global Financial Crisis and Policies (10 papers), Monetary Policy and Economic Impact (10 papers) and Market Dynamics and Volatility (7 papers). Wai‐Mun Chia collaborates with scholars based in Singapore, China and Hong Kong. Wai‐Mun Chia's co-authors include Youngho Chang, Huanhuan Zheng, Weihong Huang, Pradumna B. Rana, Mengling Li, Joseph D. Alba, Yang Tang, Xueting Zeng, Deen Sun and Min Qian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy Policy and Energy Economics.

In The Last Decade

Wai‐Mun Chia

29 papers receiving 364 citations

Author Peers

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

Author						Papers	Cites
Wai‐Mun Chia	295	120	92	69	48	33	385
Gaël Giraud	222 0.8×	66 0.6×	84 0.9×	72 1.0×	37 0.8×	50	370
Saffet Akdağ	295 1.0×	82 0.7×	94 1.0×	79 1.1×	40 0.8×	38	380
Lurion De Mello	272 0.9×	53 0.4×	114 1.2×	96 1.4×	14 0.3×	17	383
Cristiana Tudor	223 0.8×	112 0.9×	71 0.8×	43 0.6×	39 0.8×	55	413
Abdul Sattar	277 0.9×	44 0.4×	93 1.0×	57 0.8×	51 1.1×	32	400
Yanan Li	263 0.9×	156 1.3×	30 0.3×	84 1.2×	44 0.9×	23	383
Tezer Yelkenci	187 0.6×	54 0.5×	89 1.0×	55 0.8×	28 0.6×	16	340
Taqadus Bashir	183 0.6×	116 1.0×	47 0.5×	23 0.3×	19 0.4×	32	419
Lihong Lu McPhail	246 0.8×	51 0.4×	99 1.1×	90 1.3×	28 0.6×	23	339
Furrukh Bashir	178 0.6×	20 0.2×	80 0.9×	57 0.8×	24 0.5×	71	406

Countries citing papers authored by Wai‐Mun Chia

Since Specialization

Citations

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

Fields of papers citing papers by Wai‐Mun Chia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wai‐Mun Chia. 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 Wai‐Mun Chia. The network helps show where Wai‐Mun Chia may publish in the future.

Co-authorship network of co-authors of Wai‐Mun Chia

This figure shows the co-authorship network connecting the top 25 collaborators of Wai‐Mun Chia. A scholar is included among the top collaborators of Wai‐Mun Chia 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 Wai‐Mun Chia. Wai‐Mun Chia 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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