Hong Lin

163 total papers · 843 total citations
81 papers, 439 citations indexed

About

Hong Lin is a scholar working on Information Systems, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Hong Lin has authored 81 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 15 papers in Artificial Intelligence and 14 papers in Biomedical Engineering. Recurrent topics in Hong Lin's work include EEG and Brain-Computer Interfaces (7 papers), Medical Imaging and Analysis (7 papers) and Distributed and Parallel Computing Systems (7 papers). Hong Lin is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Medical Imaging and Analysis (7 papers) and Distributed and Parallel Computing Systems (7 papers). Hong Lin collaborates with scholars based in United States, China and India. Hong Lin's co-authors include Steven Lawrence Fernandes, Roshan Joy Martis, V. Rajinikanth, Mikhail Samchukov, John G. Birch, Chun Liu, Chaojie Zhang, Richard Ashman, Tianhong Pan and Shan Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Applied Materials & Interfaces and IEEE Access.

In The Last Decade

Hong Lin

68 papers receiving 416 citations

Author Peers

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

Author						Papers	Cites
Hong Lin	116	111	72	63	52	81	439
Ehab Essa	113 1.0×	160 1.4×	31 0.4×	26 0.4×	49 0.9×	26	425
Omar Hisham Alsadoon	149 1.3×	127 1.1×	41 0.6×	67 1.1×	82 1.6×	37	369
Tamanna Siddiqui	144 1.2×	95 0.9×	68 0.9×	56 0.9×	96 1.8×	32	483
Muhammad Hanif	105 0.9×	139 1.3×	43 0.6×	25 0.4×	34 0.7×	65	420
Ahmed Atwan	105 0.9×	177 1.6×	60 0.8×	69 1.1×	156 3.0×	42	487
Bhabani Shankar Prasad Mishra	121 1.0×	91 0.8×	78 1.1×	13 0.2×	16 0.3×	66	450
Mohamed Maher Ben Ismail	125 1.1×	145 1.3×	23 0.3×	16 0.3×	31 0.6×	68	459
V. Uma Maheswari	88 0.8×	41 0.4×	80 1.1×	17 0.3×	23 0.4×	62	435
Majdi Khalid	110 0.9×	67 0.6×	32 0.4×	49 0.8×	34 0.7×	41	373
Junsheng Wu	151 1.3×	114 1.0×	82 1.1×	10 0.2×	25 0.5×	71	441

Countries citing papers authored by Hong Lin

Since Specialization

Citations

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

Fields of papers citing papers by Hong Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong Lin. 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 Hong Lin. The network helps show where Hong Lin may publish in the future.

Co-authorship network of co-authors of Hong Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Lin. A scholar is included among the top collaborators of Hong Lin 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 Hong Lin. Hong Lin 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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