D. Lao

21 total papers · 508 total citations
15 papers, 166 citations indexed

About

D. Lao is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, D. Lao has authored 15 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 9 papers in Computer Networks and Communications and 4 papers in Artificial Intelligence. Recurrent topics in D. Lao's work include Advanced Wireless Communication Techniques (10 papers), Wireless Communication Networks Research (9 papers) and Speech and Audio Processing (3 papers). D. Lao is often cited by papers focused on Advanced Wireless Communication Techniques (10 papers), Wireless Communication Networks Research (9 papers) and Speech and Audio Processing (3 papers). D. Lao collaborates with scholars based in United States. D. Lao's co-authors include Alexander M. Haimovich, Chiman Kwan, R. Xu, Vincent M. Stanford, Gang Mei, Mark A. Stevenson, K. C. Ho, J.P. Fonseka, Yong Deng and Richard M. Stern and has published in prestigious journals such as IEEE Transactions on Communications, IEEE Communications Letters and EURASIP Journal on Advances in Signal Processing.

In The Last Decade

D. Lao

14 papers receiving 159 citations

Author Peers

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

Author						Papers	Cites
D. Lao	114	96	44	30	26	15	166
Riccardo Zambon	60 0.5×	75 0.8×	10 0.2×	3 0.1×	6 0.2×	22	127
Thanh Dang	39 0.3×	22 0.2×	20 0.5×	6 0.2×	4 0.2×	18	94
Amor Nafkha	86 0.8×	68 0.7×	24 0.5×		16 0.6×	15	123
Isabelle Guérin-Lassous	101 0.9×	191 2.0×	8 0.2×	1 0.0×	11 0.4×	22	233
Carlo Luschi	149 1.3×	133 1.4×	21 0.5×		23 0.9×	18	162
Shanshan Yu	134 1.2×	87 0.9×	22 0.5×		22 0.8×	18	200
J. Baltersee	233 2.0×	181 1.9×	43 1.0×		35 1.3×	14	279
Ming‐Xian Chang	281 2.5×	205 2.1×	43 1.0×		19 0.7×	24	289
R.P. Tsang	104 0.9×	180 1.9×	34 0.8×		8 0.3×	15	220
Jacques Palicot	118 1.0×	71 0.7×	53 1.2×		12 0.5×	13	143

Countries citing papers authored by D. Lao

Since Specialization

Citations

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

Fields of papers citing papers by D. Lao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Lao

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