Meng Ta-chung

68 total papers · 668 total citations
40 papers, 524 citations indexed

About

Meng Ta-chung is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics and Condensed Matter Physics. According to data from OpenAlex, Meng Ta-chung has authored 40 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Nuclear and High Energy Physics, 5 papers in Statistical and Nonlinear Physics and 3 papers in Condensed Matter Physics. Recurrent topics in Meng Ta-chung's work include High-Energy Particle Collisions Research (33 papers), Quantum Chromodynamics and Particle Interactions (28 papers) and Particle physics theoretical and experimental studies (21 papers). Meng Ta-chung is often cited by papers focused on High-Energy Particle Collisions Research (33 papers), Quantum Chromodynamics and Particle Interactions (28 papers) and Particle physics theoretical and experimental studies (21 papers). Meng Ta-chung collaborates with scholars based in Germany, United States and China. Meng Ta-chung's co-authors include L. Satpathy, D. H. E. Gross, Mantra Prasad Satpathy, Zuo-tang Liang, C. Boros, Chao Wei-qin, KUANG-CHAO CHOU, Elvira Moeller, Jicai Pan and H. Mathis and has published in prestigious journals such as Physical Review Letters, Nuclear Physics B and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Meng Ta-chung

38 papers receiving 500 citations

Author Peers

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

Author						Papers	Cites
Meng Ta-chung	470	81	52	51	50	40	524
I. Otterlund	479 1.0×	48 0.6×	34 0.7×	45 0.9×	38 0.8×	52	506
W. Wolter	503 1.1×	44 0.5×	58 1.1×	43 0.8×	103 2.1×	46	608
Laszlo Gutay	514 1.1×	137 1.7×	48 0.9×	54 1.1×	48 1.0×	32	612
J. B. Elliott	315 0.7×	110 1.4×	49 0.9×	30 0.6×	105 2.1×	34	470
R. Hołyński	507 1.1×	39 0.5×	65 1.3×	26 0.5×	105 2.1×	37	574
B. Wilczyńska	484 1.0×	31 0.4×	63 1.2×	23 0.5×	102 2.0×	43	547
W. Gorn	440 0.9×	94 1.2×	48 0.9×	94 1.8×	16 0.3×	20	489
H. J. Gebauer	505 1.1×	61 0.8×	14 0.3×	44 0.9×	25 0.5×	30	599
G. Chaudhuri	384 0.8×	92 1.1×	150 2.9×	57 1.1×	115 2.3×	47	475
H. B. Crawley	466 1.0×	50 0.6×	15 0.3×	23 0.5×	28 0.6×	37	560

Countries citing papers authored by Meng Ta-chung

Since Specialization

Citations

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

Fields of papers citing papers by Meng Ta-chung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meng Ta-chung. 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 Meng Ta-chung. The network helps show where Meng Ta-chung may publish in the future.

Co-authorship network of co-authors of Meng Ta-chung

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