Junfeng Yang

531 citations
19 papers · 275 · h-index 9

Impact in

Papers in

Junfeng Yang

18 papers receiving 257 citations

Peers

Junfeng Yang
Comparison fields: 5 of 82
  • Computer Science Applications 33
  • Information Systems 89
  • Education 89
  • Developmental and Educational Psychology 29
  • Software 7
Replace Jon A. Elorriaga with:
Jon A. Elorriaga Spain
Crediné Silva de Menezes Brazil
Ana Arruarte Spain
Theo van der Weide Netherlands
Ed de Quincey United Kingdom
Maria Chiara Pettenati Italy
Noor Faridatul Ainun Zainal Malaysia
Michael Rees Australia
Vladimir Uskov United States
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Citations per field
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Citations per year

Countries citing papers authored by Junfeng Yang

Since Specialization
Citations

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

Fields of papers citing papers by Junfeng Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2019111
2 202239
3 202124
4 202221
5 202317
6 202313
7 201612
8 202411
9 20249
10 20175
11
Analysing the therapeutical action of lung recruitment maneuver on patients with acute respiratory distress syndrome by comparing different ventilation strategies
20173
12 20143
13 20222
14 20221
15 20251
16 20221
17 20251
18 20211
19 20250

About Junfeng Yang

Junfeng Yang is a scholar working on Information Systems, Organic Chemistry, Cancer Research, Infectious Diseases and Surgery, having authored 19 papers that have together received 275 indexed citations. Recurring topics across this work include Digital literacy in education (2 papers), Catalytic C–H Functionalization Methods (2 papers), Cancer-related molecular mechanisms research (2 papers), Educational Innovations and Technology (2 papers), Traditional and Medicinal Uses of Annonaceae (1 paper), Respiratory Support and Mechanisms (1 paper), FOXO transcription factor regulation (1 paper) and Algal biology and biofuel production (1 paper). The work is most often cited by research in Computer Science Applications (33 citations), Information Systems (89 citations), Education (89 citations), Developmental and Educational Psychology (29 citations) and Software (7 citations). Junfeng Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ronghuai Huang, Feng Jiang, Jianwei Wang, Lei Liu, Baishakhi Ray, Suman Jana, Kexin Pei, Carl Vondrick, Huiju Yu and Sachit Menon. Their work appears in journals such as Advanced Science, Medicinal Chemistry Research, IEEE Robotics and Automation Letters, Perfusion and Chinese Journal of Chemistry.

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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