Haipeng Tang

68 total papers · 1.3k total citations
49 papers, 800 citations indexed

About

Haipeng Tang is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Haipeng Tang has authored 49 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Cardiology and Cardiovascular Medicine and 11 papers in Surgery. Recurrent topics in Haipeng Tang's work include Cardiac Imaging and Diagnostics (12 papers), Cardiac pacing and defibrillation studies (10 papers) and Advanced MRI Techniques and Applications (7 papers). Haipeng Tang is often cited by papers focused on Cardiac Imaging and Diagnostics (12 papers), Cardiac pacing and defibrillation studies (10 papers) and Advanced MRI Techniques and Applications (7 papers). Haipeng Tang collaborates with scholars based in China, United States and Japan. Haipeng Tang's co-authors include Michiyoshi Ae, Takashi Yokoi, Weihua Zhou, Zhuo He, Chaoyang Zhang, Zhao Chen, Guang‐Uei Hung, Jinshan Tang, Pai‐Yi Chiu and Zhihui Xu and has published in prestigious journals such as PLoS ONE, Journal of Biomechanics and Molecules.

In The Last Decade

Haipeng Tang

42 papers receiving 765 citations

Author Peers

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

Author Last Decade Papers Cites
Haipeng Tang 303 169 148 126 107 49 800
Woei‐Chyn Chu 248 0.8× 167 1.0× 76 0.5× 39 0.3× 63 0.6× 52 899
Pablo Lecumberri 176 0.6× 78 0.5× 89 0.6× 32 0.3× 105 1.0× 34 810
Steffi Colyer 484 1.6× 53 0.3× 473 3.2× 67 0.5× 111 1.0× 49 1.0k
Yio‐Wha Shau 255 0.8× 78 0.5× 292 2.0× 48 0.4× 150 1.4× 40 915
Giuseppe Cesarelli 288 1.0× 67 0.4× 26 0.2× 93 0.7× 77 0.7× 63 869
Kevin Sweeney 317 1.0× 55 0.3× 154 1.0× 225 1.8× 112 1.0× 20 933
Declan Lyons 77 0.3× 55 0.3× 60 0.4× 278 2.2× 135 1.3× 46 827
Dietmar Rafolt 368 1.2× 43 0.3× 90 0.6× 40 0.3× 118 1.1× 54 762
Gabriella Balestra 454 1.5× 147 0.9× 36 0.2× 26 0.2× 61 0.6× 104 921
Leandro Donisi 264 0.9× 55 0.3× 37 0.3× 63 0.5× 32 0.3× 63 791

Countries citing papers authored by Haipeng Tang

Since Specialization
Citations

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

Fields of papers citing papers by Haipeng Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haipeng Tang

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