Yiming Cui

1.8k citations
52 papers · 673 · h-index 14

Impact in

Papers in

Yiming Cui

48 papers receiving 658 citations

Peers

Yiming Cui
Comparison fields: 5 of 102
  • Artificial Intelligence 313
  • Industrial and Manufacturing Engineering 59
  • Computer Vision and Pattern Recognition 112
  • Health Informatics 5
  • Mechanical Engineering 145
Replace Cheng Dai with:
Cheng Dai China
Lukun Wang China
Youngmoon Lee South Korea
Hao Fang China
Zhenghao Li China
JinYeong Bak South Korea
Hasliza A. Rahim Malaysia
Guoxiang Tong China
Bing Qiao China
Yiming Cui relative to Cheng Dai China Cheng Dai's profile →
Citations per field
00.5×4.9×
Cheng Dai · 1×
Citations per year

Countries citing papers authored by Yiming Cui

Since Specialization
Citations

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

Fields of papers citing papers by Yiming Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202088
2 202182
3 201975
4 202048
5 201848
6 201742
7
Context-Sensitive Generation of Open-Domain Conversational Responses
201821
8 202419
9 201516
10 201616
11 202116
12 202016
13 201914
14 202113
15 202011
16 202011
17 20239
18 20249
19 20229
20 20228

About Yiming Cui

Yiming Cui is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Mechanical Engineering, Ecology, Evolution, Behavior and Systematics and Renewable Energy, Sustainability and the Environment, having authored 52 papers that have together received 673 indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Natural Language Processing Techniques (13 papers), Multimodal Machine Learning Applications (9 papers), Plant Diversity and Evolution (5 papers), Plant and Fungal Species Descriptions (3 papers), Building Energy and Comfort Optimization (3 papers), Advanced machining processes and optimization (3 papers) and Advanced Text Analysis Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (313 citations), Industrial and Manufacturing Engineering (59 citations), Computer Vision and Pattern Recognition (112 citations), Health Informatics (5 citations) and Mechanical Engineering (145 citations). Yiming Cui has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Ting Liu, Wanxiang Che, Shijin Wang, Yongqing Wang, Kuo Liu, Wei Han, Sanyuan Chen, Haoyu Song, Yutai Hou and Dong Wang. Their work appears in journals such as Energy and Buildings, Animals, Catalysis Science & Technology, Dyes and Pigments and IEEE Transactions on Industrial Informatics.

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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