Chaohui Lü

583 citations
40 papers · 427 · h-index 12

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Multiple Myeloma Research and Treatments
    • Health disparities and outcomes

Papers in

Chaohui Lü

37 papers receiving 399 citations

Peers

Chaohui Lü
Comparison fields: 5 of 118
  • Hematology 72
  • Health 29
  • Computer Vision and Pattern Recognition 71
  • Media Technology 29
  • Oncology 55
Replace Krunal Pandav with:
Krunal Pandav United States
Manish Singhal India
Daniel R. Harris United States
Dhundy Bastola United States
Mengting Sun China
Seyed Morteza Hosseini Iran
Aslı Süner Türkiye
А. В. Кузнецова Russia
Chengzhong Li China
Xiaoxiao Kong China
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Citations per year

Countries citing papers authored by Chaohui Lü

Since Specialization
Citations

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

Fields of papers citing papers by Chaohui Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chaohui Lü, 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 Chaohui Lü Line = papers co-authored together Chaohui Lü 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 200758
2 201955
3 200341
4 201738
5 201036
6 200533
7 201430
8
How's Life in the City? Life Satisfaction Across Census Metropolitan Areas and Economic Regions in Canada
201516
9 201414
10 201311
11 201111
12 200411
13 20219
14 20218
15 20037
16 20104
17 20154
18 20114
19 20104
20 20123

About Chaohui Lü

Chaohui Lü is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Media Technology, Hematology and Electrical and Electronic Engineering, having authored 40 papers that have together received 427 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (13 papers), Image Enhancement Techniques (5 papers), Advanced Measurement and Detection Methods (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Advanced Image Processing Techniques (4 papers), Acute Myeloid Leukemia Research (4 papers), Image and Video Quality Assessment (4 papers) and Ubiquitin and proteasome pathways (3 papers). The work is most often cited by research in Hematology (72 citations), Health (29 citations), Computer Vision and Pattern Recognition (71 citations), Media Technology (29 citations) and Oncology (55 citations). Chaohui Lü has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Edward Ng, Jane L. Liesveld, Karen Rosell, Jeremy Bechelli, Gordon L. Phillips, Grant Schellenberg, Feng Hou, Hui Ren, Yinghua Shen and Camille N. Abboud. Their work appears in journals such as Blood, Canadian Journal of Public Health, Leukemia Research, Diagnostic Pathology and Social Indicators Research.

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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