Long Guo

40 total papers · 802 total citations
29 papers, 500 citations indexed

About

Long Guo is a scholar working on Cardiology and Cardiovascular Medicine, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Long Guo has authored 29 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cardiology and Cardiovascular Medicine, 8 papers in Signal Processing and 7 papers in Artificial Intelligence. Recurrent topics in Long Guo's work include Antiplatelet Therapy and Cardiovascular Diseases (10 papers), Data Management and Algorithms (8 papers) and Human Mobility and Location-Based Analysis (6 papers). Long Guo is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (10 papers), Data Management and Algorithms (8 papers) and Human Mobility and Location-Based Analysis (6 papers). Long Guo collaborates with scholars based in China, South Korea and Singapore. Long Guo's co-authors include Dongxiang Zhang, Kian‐Lee Tan, Jie Shao, Heng Tao Shen, Bin Cui, Moo Hyun Kim, Lei Wang, Lianli Gao, Rongfei Jia and Binqiang Zhao and has published in prestigious journals such as Journal of the American College of Cardiology, IEEE Transactions on Knowledge and Data Engineering and IEEE Internet of Things Journal.

In The Last Decade

Long Guo

28 papers receiving 489 citations

Author Peers

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

Author						Papers	Cites
Long Guo	175	123	115	110	107	29	500
Changqing Ji	127 0.7×	195 1.6×	28 0.2×	85 0.8×	183 1.7×	26	464
Abhishek Mallik	214 1.2×	96 0.8×	37 0.3×	63 0.6×	59 0.6×	19	450
Mathias Bauer	233 1.3×	89 0.7×	30 0.3×	35 0.3×	66 0.6×	40	503
Abeer ElKorany	332 1.9×	101 0.8×	13 0.1×	22 0.2×	34 0.3×	49	609
Edward Rolando Núñez‐Valdéz	163 0.9×	218 1.8×	50 0.4×	22 0.2×	109 1.0×	34	556
Byron J. Gao	284 1.6×	198 1.6×	4 0.0×	100 0.9×	96 0.9×	46	478
Gianfranco Lombardo	133 0.8×	42 0.3×	37 0.3×	25 0.2×	111 1.0×	31	535
Soma Bandyopadhyay	207 1.2×	75 0.6×	180 1.6×	76 0.7×	161 1.5×	33	559
Jiao Yin	123 0.7×	106 0.9×	33 0.3×	60 0.5×	118 1.1×	34	477
Zhao Zhang	325 1.9×	66 0.5×	5 0.0×	109 1.0×	22 0.2×	41	586

Countries citing papers authored by Long Guo

Since Specialization

Citations

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

Fields of papers citing papers by Long Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Long Guo

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