Long Fu

675 citations
22 papers · 350 · h-index 10

Impact in

Papers in

Long Fu

19 papers receiving 332 citations

Peers

Long Fu
Comparison fields: 5 of 57
  • Complementary and alternative medicine 118
  • Cardiology and Cardiovascular Medicine 177
  • Radiology, Nuclear Medicine and Imaging 29
  • Pulmonary and Respiratory Medicine 39
  • Geriatrics and Gerontology 3
Replace Akihiko Tajima with:
Akihiko Tajima Japan
Franco Macor Italy
Todd A. Dorfman United States
Federico Alvino Italy
Shane M. Hammer United States
T. Jake Samuel United States
Kristofer Hedman Sweden
Sandra L. Smithmyer United States
João J. Leite Brazil
Dai Okushima Japan
Long Fu relative to Akihiko Tajima Japan Akihiko Tajima's profile →
Citations per field
00.5×1.5×2.5×
Akihiko Tajima · 1×
Citations per year

Countries citing papers authored by Long Fu

Since Specialization
Citations

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

Fields of papers citing papers by Long Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Long Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Long Fu Line = papers co-authored together Long Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200270
2 200469
3 200038
4 200230
5 200126
6 200424
7 200320
8 200720
9 200513
10 19819
11 20216
12 20206
13 20236
14 19895
15 19843
16 20192
17
HEART RATE RESPONSE TO TREADMILL EXERCISE TESTING IN PATIENTS WITH SICK SINUS SYNDROME : Arrhythmia : FREE COMMUNICATIONS (Abstract) : 45 Annual Scientific Meeting, Japanese Circulation Society
19811
18 20211
19 20021
20
Organic Electrofluorescent Materials Using Pyridine-Containing Macrocyclic Compounds
20090

About Long Fu

Long Fu is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine, Electrical and Electronic Engineering, Surgery and Control and Systems Engineering, having authored 22 papers that have together received 350 indexed citations. Recurring topics across this work include Cardiovascular and exercise physiology (5 papers), Cardiac electrophysiology and arrhythmias (3 papers), Heart Rate Variability and Autonomic Control (3 papers), ECG Monitoring and Analysis (3 papers), Microgrid Control and Optimization (2 papers), Cardiac Health and Mental Health (2 papers), Organic Electronics and Photovoltaics (1 paper) and Organic Light-Emitting Diodes Research (1 paper). The work is most often cited by research in Complementary and alternative medicine (118 citations), Cardiology and Cardiovascular Medicine (177 citations), Radiology, Nuclear Medicine and Imaging (29 citations), Pulmonary and Respiratory Medicine (39 citations) and Geriatrics and Gerontology (3 citations). Long Fu has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Haruki Itoh, Akira Koike, Tadanori Aizawa, Akihiko Tajima, Makoto Katô, Hiroshi Watanabe, Hitoshi Sawada, Takuro Kubozono, Hiroshi Watanabe and Hiroyuki Iinuma. Their work appears in journals such as CHEST Journal, Basic Research in Cardiology, Applied Sciences, Circulation Journal and Journal of the American College of Cardiology.

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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