Meng‐Chieh Chiu

13 total papers · 532 total citations
11 papers, 401 citations indexed

About

Meng‐Chieh Chiu is a scholar working on Information Systems, Human-Computer Interaction and Computer Networks and Communications. According to data from OpenAlex, Meng‐Chieh Chiu has authored 11 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Information Systems, 3 papers in Human-Computer Interaction and 2 papers in Computer Networks and Communications. Recurrent topics in Meng‐Chieh Chiu's work include Parallel Computing and Optimization Techniques (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers) and Cloud Computing and Resource Management (2 papers). Meng‐Chieh Chiu is often cited by papers focused on Parallel Computing and Optimization Techniques (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers) and Cloud Computing and Resource Management (2 papers). Meng‐Chieh Chiu collaborates with scholars based in United States, Taiwan and Thailand. Meng‐Chieh Chiu's co-authors include Abhinav Parate, Deepak Ganesan, Evangelos Kalogerakis, Chia‐Hui Chen, Hao-Hua Chu, Fei‐Hsiu Hsiao, Yu‐Chen Chang, Benjamin M. Marlin, J. Eliot B. Moss and Kok‐Boon Neoh and has published in prestigious journals such as Pest Management Science, Acta Tropica and ACM Transactions on Programming Languages and Systems.

In The Last Decade

Meng‐Chieh Chiu

10 papers receiving 376 citations

Author Peers

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

Author						Papers	Cites
Meng‐Chieh Chiu	139	129	105	58	49	11	401
Elena Di Lascio	68 0.5×	68 0.5×	35 0.3×	55 0.9×	36 0.7×	22	411
Temiloluwa Prioleau	61 0.4×	95 0.7×	32 0.3×	75 1.3×	31 0.6×	25	363
Fernando Flores-Mangas	58 0.4×	184 1.4×	56 0.5×	149 2.6×	35 0.7×	5	389
Reuben Kirkham	107 0.8×	108 0.8×	25 0.2×	17 0.3×	50 1.0×	33	413
Nazir Saleheen	24 0.2×	73 0.6×	44 0.4×	41 0.7×	78 1.6×	15	336
Sebastian Mellor	58 0.4×	169 1.3×	40 0.4×	84 1.4×	51 1.0×	12	337
Hillol Sarker	56 0.4×	56 0.4×	24 0.2×	39 0.7×	46 0.9×	15	414
Ahmad Akl	140 1.0×	171 1.3×	49 0.5×	83 1.4×	45 0.9×	9	394
C. Longworth	64 0.5×	117 0.9×	62 0.6×	10 0.2×	84 1.7×	9	370
Pawan Hegde	94 0.7×	50 0.4×	40 0.4×	16 0.3×	65 1.3×	7	333

Countries citing papers authored by Meng‐Chieh Chiu

Since Specialization

Citations

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

Fields of papers citing papers by Meng‐Chieh Chiu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meng‐Chieh Chiu. 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‐Chieh Chiu. The network helps show where Meng‐Chieh Chiu may publish in the future.

Co-authorship network of co-authors of Meng‐Chieh Chiu

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