Hui Meng Chang

96 total papers · 1.9k total citations
53 papers, 1.1k citations indexed

About

Hui Meng Chang is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Rehabilitation. According to data from OpenAlex, Hui Meng Chang has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Epidemiology, 19 papers in Pulmonary and Respiratory Medicine and 14 papers in Rehabilitation. Recurrent topics in Hui Meng Chang's work include Acute Ischemic Stroke Management (27 papers), Cerebrovascular and Carotid Artery Diseases (17 papers) and Stroke Rehabilitation and Recovery (14 papers). Hui Meng Chang is often cited by papers focused on Acute Ischemic Stroke Management (27 papers), Cerebrovascular and Carotid Artery Diseases (17 papers) and Stroke Rehabilitation and Recovery (14 papers). Hui Meng Chang collaborates with scholars based in Singapore, China and United States. Hui Meng Chang's co-authors include Christopher Chen, Deidre Anne De Silva, Meng Cheong Wong, Ka Sing Wong, Yudong Zhao, Narayanaswamy Venketasubramanian, Nijasri C. Suwanwela, Qing Hao, Zhao Han and Disya Ratanakorn and has published in prestigious journals such as PLoS ONE, Neurology and Stroke.

In The Last Decade

Hui Meng Chang

51 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Hui Meng Chang 535 331 285 224 189 53 1.1k
Francesco Corea 696 1.3× 431 1.3× 276 1.0× 385 1.7× 181 1.0× 51 1.4k
Clotilde Balucani 465 0.9× 354 1.1× 274 1.0× 274 1.2× 219 1.2× 60 1.0k
Teng‐Yeow Tan 505 0.9× 305 0.9× 232 0.8× 224 1.0× 178 0.9× 47 1.2k
M. Camerlingo 553 1.0× 310 0.9× 167 0.6× 398 1.8× 147 0.8× 51 1.1k
Maria Grazia Celani 700 1.3× 390 1.2× 289 1.0× 358 1.6× 248 1.3× 48 1.5k
Ruey‐Tay Lin 360 0.7× 192 0.6× 251 0.9× 235 1.0× 127 0.7× 69 1.4k
A. Mamoli 474 0.9× 280 0.8× 154 0.5× 360 1.6× 128 0.7× 45 957
Benoît Daubail 508 0.9× 369 1.1× 193 0.7× 301 1.3× 254 1.3× 33 1.2k
Sharon N. Poisson 446 0.8× 234 0.7× 200 0.7× 259 1.2× 123 0.7× 54 945
Toshiyuki Uehara 754 1.4× 626 1.9× 267 0.9× 388 1.7× 193 1.0× 76 1.2k

Countries citing papers authored by Hui Meng Chang

Since Specialization
Citations

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

Fields of papers citing papers by Hui Meng Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui Meng Chang. 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 Hui Meng Chang. The network helps show where Hui Meng Chang may publish in the future.

Co-authorship network of co-authors of Hui Meng Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Hui Meng Chang. A scholar is included among the top collaborators of Hui Meng Chang 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 Hui Meng Chang. Hui Meng Chang 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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2026