Qi Bi

1.1k citations
39 papers · 386 · h-index 11

Impact in

  • Neurology top 10%
    • Transcranial Magnetic Stimulation Studies
    • Stroke Rehabilitation and Recovery

Papers in

Qi Bi

36 papers receiving 380 citations

Peers

Qi Bi
Comparison fields: 5 of 78
  • Neurology 73
  • Rehabilitation 47
  • Developmental Neuroscience 19
  • Epidemiology 115
  • Radiology, Nuclear Medicine and Imaging 75
Replace Lijie Ren with:
Lijie Ren China
Lisa Cloonan United States
Wojciech Ambrosius Poland
Zhe Kang Law Malaysia
Farhad Iranmanesh Iran
Haiqiang Qin China
Yong Jun Wang China
Kaitlin Fitzpatrick United States
Tomoyuki Kamata Japan
Benjamin Hotter Germany
Qi Bi relative to Lijie Ren China Lijie Ren's profile →
Citations per field
00.5×3.4×
Lijie Ren · 1×
Citations per year

Countries citing papers authored by Qi Bi

Since Specialization
Citations

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

Fields of papers citing papers by Qi Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Qi Bi, 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 Qi Bi Line = papers co-authored together Qi Bi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200468
2 200461
3 201633
4 201431
5 201021
6 200617
7 202313
8 201812
9 201111
10 201811
11 200810
12 201510
13
Functional Analysis of Rice Ca~(2+)/H~+ Antiporter OsCAX3 in Yeast and Its Subcellular Localization in Plant
20058
14 20098
15 20227
16 20217
17 20217
18
[Study on prehospital time and influencing factors of stroke patients in 15 Chinese cities].
20066
19
[Study on the risk factors among stroke in young people].
20035
20 20165

About Qi Bi

Qi Bi is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology, having authored 39 papers that have together received 386 indexed citations. Recurring topics across this work include Acute Ischemic Stroke Management (9 papers), Cerebrovascular and Carotid Artery Diseases (8 papers), Cardiac and Coronary Surgery Techniques (5 papers), Advanced MIMO Systems Optimization (4 papers), Infective Endocarditis Diagnosis and Management (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers) and Neurological Disease Mechanisms and Treatments (3 papers). The work is most often cited by research in Neurology (73 citations), Rehabilitation (47 citations), Developmental Neuroscience (19 citations), Epidemiology (115 citations) and Radiology, Nuclear Medicine and Imaging (75 citations). Qi Bi has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Thorsten Schormann, Rüdiger J. Seitz, Otto W. Witte, Georg Hagemann, Matthias Kraemer, Lang Li, Zhe Song, Rui‐Xing Yin, Xiaoqing Li and Liqun Feng. Their work appears in journals such as Neurological Research, IEEE Communications Magazine, Journal of Neuroimaging, Computer Communications and Pediatric Neurology.

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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