Shun Long

983 citations
40 papers · 606 · h-index 12

Impact in

Papers in

Shun Long

35 papers receiving 578 citations

Peers

Shun Long
Comparison fields: 5 of 104
  • Hardware and Architecture 64
  • Pediatrics, Perinatology and Child Health 70
  • Artificial Intelligence 132
  • Bioengineering 22
  • Electrical and Electronic Engineering 214
Replace André Neubauer with:
André Neubauer Germany
Paul R. Dixon Japan
J. Miller United States
Anum Masood Pakistan
Kingsley A. Ogudo South Africa
S. Ramachandran India
Muhammad Ijaz United Kingdom
Deepak Mishra India
Shun Long relative to André Neubauer Germany André Neubauer's profile →
Citations per field
00.5×10×15×21×
André Neubauer · 1×
Citations per year

Countries citing papers authored by Shun Long

Since Specialization
Citations

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

Fields of papers citing papers by Shun Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202179
2 201778
3 202265
4 201662
5 202142
6 201634
7 200430
8 202028
9 202121
10 201519
11 200917
12 200512
13 202211
14 202411
15 202210
16 20179
17
Finding representative sets of optimizations for adaptive multiversioning applications
20099
18 20229
19 20209
20 20246

About Shun Long

Shun Long is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Pediatrics, Perinatology and Child Health and Hardware and Architecture, having authored 40 papers that have together received 606 indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (5 papers), Neonatal and fetal brain pathology (5 papers), Parallel Computing and Optimization Techniques (5 papers), Logic, programming, and type systems (3 papers), Pelvic and Acetabular Injuries (3 papers), Advanced Memory and Neural Computing (2 papers), Quantum Computing Algorithms and Architecture (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). The work is most often cited by research in Hardware and Architecture (64 citations), Pediatrics, Perinatology and Child Health (70 citations), Artificial Intelligence (132 citations), Bioengineering (22 citations) and Electrical and Electronic Engineering (214 citations). Shun Long has collaborated with scholars based in China, New Zealand and United Kingdom. Frequent co-authors include Jieyun Bai, Yaosheng Lu, Zhe Chen, Mujun Liu, Wanmin Lian, Michael O’Boyle, Yunhan Luo, Jieyuan Tang, Jianhui Yu and Huihui Lu. Their work appears in journals such as Computers in Biology and Medicine, Optical and Quantum Electronics, Expert Systems with Applications, Journal of Alzheimer s Disease and Engineering Applications of Artificial Intelligence.

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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