Di Lin

89 total papers · 695 total citations
49 papers, 466 citations indexed

About

Di Lin is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Computer Networks and Communications. According to data from OpenAlex, Di Lin has authored 49 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Electrical and Electronic Engineering, 17 papers in Biomedical Engineering and 9 papers in Computer Networks and Communications. Recurrent topics in Di Lin's work include Wireless Body Area Networks (13 papers), Advanced MIMO Systems Optimization (6 papers) and Advanced Optical Sensing Technologies (5 papers). Di Lin is often cited by papers focused on Wireless Body Area Networks (13 papers), Advanced MIMO Systems Optimization (6 papers) and Advanced Optical Sensing Technologies (5 papers). Di Lin collaborates with scholars based in China, Canada and United States. Di Lin's co-authors include Yu Tang, Athanasios V. Vasilakos, Fabrice Labeau, Yuanzhe Yao, James R. Leger, Jonathan Patrick, Jian Zhang, Xing An, Su Hu and Jiale Zhang and has published in prestigious journals such as IEEE Communications Magazine, IEEE Access and Neurocomputing.

In The Last Decade

Di Lin

45 papers receiving 448 citations

Author Peers

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

Author						Papers	Cites
Di Lin	138	135	107	87	74	49	466
Vinicius Facco Rodrigues	267 1.9×	55 0.4×	65 0.6×	42 0.5×	212 2.9×	45	458
Kingsley A. Ogudo	157 1.1×	208 1.5×	79 0.7×	55 0.6×	75 1.0×	87	514
Jia Wang	61 0.4×	38 0.3×	125 1.2×	52 0.6×	64 0.9×	35	477
Mayank Gupta	50 0.4×	158 1.2×	70 0.7×	47 0.5×	30 0.4×	41	408
S. K. Srivatsa	138 1.0×	81 0.6×	132 1.2×	55 0.6×	89 1.2×	103	511
Allah Ditta	135 1.0×	73 0.5×	160 1.5×	23 0.3×	93 1.3×	37	459
Amal Al‐Rasheed	136 1.0×	75 0.6×	187 1.7×	28 0.3×	89 1.2×	61	546
Amjed Al‐Mousa	48 0.3×	51 0.4×	143 1.3×	13 0.1×	39 0.5×	39	484
J. Amudhavel	239 1.7×	156 1.2×	150 1.4×	35 0.4×	110 1.5×	52	542
David Arney	106 0.8×	22 0.2×	52 0.5×	160 1.8×	67 0.9×	35	534

Countries citing papers authored by Di Lin

Since Specialization

Citations

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

Fields of papers citing papers by Di Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Lin

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