Qiming Luo

633 citations
15 papers · 516 · h-index 9

Impact in

Papers in

    • Image Retrieval and Classification Techniques 4
    • Advanced Image and Video Retrieval Techniques 2
    • Optical measurement and interference techniques 1
    • Medical Image Segmentation Techniques 1
    • Topic Modeling 3
    • Text and Document Classification Technologies 3

Qiming Luo

14 papers receiving 495 citations

Peers

Qiming Luo
Comparison fields: 5 of 91
  • Polymers and Plastics 100
  • Biomedical Engineering 258
  • Artificial Intelligence 104
  • Computer Vision and Pattern Recognition 66
  • Media Technology 26
Replace Jaspreet Kaur with:
Jaspreet Kaur India
Yuliang Chen China
Yuanzhen Wang China
Shihong Chen China
Ho‐Hyun Park South Korea
Ge Song China
N. C. Shivaprakash India
Woojoo Lee South Korea
Qiming Luo relative to Jaspreet Kaur India Jaspreet Kaur's profile →
Citations per field
00.5×2.9×
Jaspreet Kaur · 1×
Citations per year

Countries citing papers authored by Qiming Luo

Since Specialization
Citations

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

Fields of papers citing papers by Qiming Luo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2017280
2 201173
3 200638
4 201036
5 202026
6 199921
7 200613
8 201813
9 20078
10
Hedge Classification with Syntactic Dependency Features Based on an Ensemble Classifier
20102
11 20052
12 20082
13 20231
14 20181
15 20230

About Qiming Luo

Qiming Luo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Complementary and alternative medicine and Electrical and Electronic Engineering, having authored 15 papers that have together received 516 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (4 papers), Topic Modeling (3 papers), Text and Document Classification Technologies (3 papers), Traditional Chinese Medicine Analysis (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Optical measurement and interference techniques (1 paper), Medical Image Segmentation Techniques (1 paper) and Innovative Energy Harvesting Technologies (1 paper). The work is most often cited by research in Polymers and Plastics (100 citations), Biomedical Engineering (258 citations), Artificial Intelligence (104 citations), Computer Vision and Pattern Recognition (66 citations) and Media Technology (26 citations). Qiming Luo has collaborated with scholars based in China and United States. Frequent co-authors include Dingyi Wang, Yang Quan, Dingli Liang, Wenqian Wang, Hao Xue, Enhong Chen, Hui Xiong, Taghi M. Khoshgoftaar, Haiping Ma and Haiyan Liu. Their work appears in journals such as Information Processing & Management, Microelectronic Engineering, Journal of Pharmaceutical and Biomedical Analysis, Nano Energy and IEEE Transactions on Image Processing.

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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