Max W. Y. Lam

46 total papers · 666 total citations
21 papers, 230 citations indexed

About

Max W. Y. Lam is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Max W. Y. Lam has authored 21 papers receiving a total of 230 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Signal Processing and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Max W. Y. Lam's work include Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (8 papers) and Music and Audio Processing (8 papers). Max W. Y. Lam is often cited by papers focused on Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (8 papers) and Music and Audio Processing (8 papers). Max W. Y. Lam collaborates with scholars based in United States, China and Hong Kong. Max W. Y. Lam's co-authors include Dan Su, Dong Yu, Xunying Liu, Helen Meng, Jianwei Yu, Shoukang Hu, Jun Wang, Jun Wang, Xixin Wu and Jun Wang and has published in prestigious journals such as Alzheimer s & Dementia, Journal of Artificial Intelligence and Soft Computing Research and PubMed.

In The Last Decade

Max W. Y. Lam

21 papers receiving 219 citations

Author Peers

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

Author						Papers	Cites
Max W. Y. Lam	157	141	28	23	19	21	230
Tianzi Wang	162 1.0×	93 0.7×	51 1.8×	12 0.5×	32 1.7×	29	225
Phani Sankar Nidadavolu	197 1.3×	171 1.2×	69 2.5×	35 1.5×	27 1.4×	16	291
M. A. Anusuya	215 1.4×	179 1.3×	18 0.6×	39 1.7×	24 1.3×	22	299
Bajibabu Bollepalli	224 1.4×	188 1.3×	39 1.4×	20 0.9×	58 3.1×	24	280
Ayush Tripathi	98 0.6×	31 0.2×	47 1.7×	30 1.3×	34 1.8×	35	295
Isar Nejadgholi	128 0.8×	29 0.2×	13 0.5×	19 0.8×	12 0.6×	28	277
Thomas Merritt	258 1.6×	191 1.4×	14 0.5×	35 1.5×	43 2.3×	25	328
Youngmoon Jung	195 1.2×	168 1.2×	10 0.4×	15 0.7×	7 0.4×	22	261
Piotr Żelasko	247 1.6×	196 1.4×	24 0.9×	44 1.9×	25 1.3×	33	330
Kaoru Hiramatsu	169 1.1×	141 1.0×	10 0.4×	142 6.2×	16 0.8×	25	327

Countries citing papers authored by Max W. Y. Lam

Since Specialization

Citations

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

Fields of papers citing papers by Max W. Y. Lam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Max W. Y. Lam. 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 Max W. Y. Lam. The network helps show where Max W. Y. Lam may publish in the future.

Co-authorship network of co-authors of Max W. Y. Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Max W. Y. Lam. A scholar is included among the top collaborators of Max W. Y. Lam 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 Max W. Y. Lam. Max W. Y. Lam 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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