Science Explorer Back to mapMap
Discussion
Researcher · Towson University · United States

Fan Liang

Fan Liang publishes mostly in Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering, on topics such as IoT and Edge/Fog Computing, Cloud Computing and Resource Management and Blockchain Technology Applications and Security.

ORCID 0000-0003-2233-0118 OpenAlex
World rank
#540,389
of 7,710,434 ranked researchers
Rank in United States
#187,037
of 1,627,098
Works
71
Citations
3.7k
Citations per work
52.2
h-index
19
i10-index 26Top 15% in Computer Networks and Communications
Fan Liang

What does Fan Liang research?

Fan Liang's work is mostly in Computer Science (58%), Engineering (20%).

Physical Sciences: 55 works · 78.0% of their workComputer Science: 41 works · 57.9% of their workComputer Networks and Communications: 20 works · 27.5% of their workInformation Systems: 10 works · 13.7% of their workArtificial Intelligence: 8 works · 11.3% of their workComputer Vision and Pattern Recognition: 4 works · 5.4% of their workEngineering: 14 works · 20.1% of their workElectrical and Electronic Engineering: 8 works · 11.3% of their workControl and Systems Engineering: 6 works · 8.8% of their workEverything else: 16 works · 22.0% of their workTHEIR WORKFan Liang71works
Physical Sciences78%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science4157.9%
    2. Engineering1420.1%
  2. Everything else1622.0%
  1. 1Computer Networks and Communications28% of their works
  2. 2Information Systems14% of their works
  3. 3Electrical and Electronic Engineering11% of their works
  4. 4Artificial Intelligence11% of their works
  5. 5Control and Systems Engineering9% of their works
  6. 6Computer Vision and Pattern Recognition5% of their works

Research topics

Which keywords describe Fan Liang's research?

The keywords of their largest research topics: Security, Healthcare, Internet of Things, Distributed Systems, Resource Management, Deep Learning, Privacy and Machine Learning.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 24 words, with their numbers
  1. Security243 topics
  2. Healthcare212 topics
  3. Internet of Things212 topics
  4. Distributed Systems192 topics
  5. Resource Management192 topics
  6. Deep Learning182 topics
  7. Privacy182 topics
  8. Machine Learning152 topics
  9. Big Data121 topic
  10. Cloud Computing121 topic
  11. Edge Computing121 topic
  12. Fog Computing121 topic
  13. Blockchain91 topic
  14. Cyber-Physical Systems91 topic
  15. Smart Contracts91 topic
  16. Smart Grid91 topic
  17. Grid Computing71 topic
  18. Task Scheduling71 topic
  19. Adversarial Examples61 topic
  20. Distributed Storage61 topic
  21. Network Coding61 topic
  22. Robustness61 topic
  23. Energy-Efficient Protocols51 topic
  24. Wireless Sensor Networks51 topic

Where does Fan Liang work?

Fan Liang's main affiliation in the publication record is Towson University, United States.

How many publications and citations does Fan Liang have?

OpenAlex counts 71 works and 3,706 citations for Fan Liang, an h-index of 19, ranking #540,389 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Other researchers named Fan Liang

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

Ask a question or share a note about Fan Liang. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.