Lujie Chen

67 papers receiving 779 citations

Peers

Lujie Chen
Comparison fields: 5 of 117
  • Health Informatics 39
  • Medical Laboratory Technology 12
  • Computer Vision and Pattern Recognition 177
  • Media Technology 68
  • Management Information Systems 59
Replace Farhaan Mirza with:
Farhaan Mirza New Zealand
Nada Philip United Kingdom
Diego M. López Colombia
İlker Özşahin Cyprus
Abdullah M. Almuhaideb Saudi Arabia
Carlos Francisco Moreno‐García United Kingdom
Abdul Ahad Pakistan
Firdaus Firdaus Indonesia
Tianshu Zhou China
Anuj Gupta India
Lujie Chen relative to Farhaan Mirza New Zealand Farhaan Mirza's profile →
Citations per field
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Farhaan Mirza · 1×
Citations per year

Countries citing papers authored by Lujie Chen

Since Specialization
Citations

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

Fields of papers citing papers by Lujie Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201871
2 200859
3 201655
4 202350
5 200545
6 202444
7 201735
8 201733
9 201929
10 201527
11 200427
12 202326
13 201026
14 200323
15 200520
16 200615
17 202414
18 202212
19 201712
20
Modelling Risk of Cardio-Respiratory Instability as a Heterogeneous Process.
201511

About Lujie Chen

Lujie Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Science Applications, Developmental and Educational Psychology and Epidemiology, having authored 77 papers that have together received 809 indexed citations. Recurring topics across this work include Optical measurement and interference techniques (8 papers), Online Learning and Analytics (8 papers), Intelligent Tutoring Systems and Adaptive Learning (7 papers), Innovative Teaching and Learning Methods (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Non-Invasive Vital Sign Monitoring (4 papers), Image Processing Techniques and Applications (4 papers) and Data-Driven Disease Surveillance (4 papers). The work is most often cited by research in Health Informatics (39 citations), Medical Laboratory Technology (12 citations), Computer Vision and Pattern Recognition (177 citations), Media Technology (68 citations) and Management Information Systems (59 citations). Lujie Chen has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Chenggen Quan, Michael R. Pinsky, Gilles Clermont, C.J. Tay, Marilyn Hravnak, Artur Dubrawski, Artur Dubrawski, Andrew H. Gee, Richard W. Prager and Graham M. Treece. Their work appears in journals such as Critical Care Medicine, Neurocritical Care, Journal of Clinical Monitoring and Computing, International Journal of Production Economics and International Journal of Logistics Research and Applications.

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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