Jianfeng Dong

4.0k citations
124 papers · 2.2k indexed · h-index 28

Jianfeng Dong

112 papers receiving 2.2k citations

Peers

Jianfeng Dong
Comparison fields: 5 of 133
  • Computer Vision and Pattern Recognition 1.3k
  • Civil and Structural Engineering 366
  • Artificial Intelligence 539
  • Building and Construction 155
  • Applied Mathematics 87
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Citations per field
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Citations per year

Countries citing papers authored by Jianfeng Dong

Since Specialization
Citations

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

Fields of papers citing papers by Jianfeng Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20245
4 20241
5 20231
6 202327
7 202316
8 202310
9 202351
10 202125
11 202129
12 202034
13
Renmin University of China and Zhejiang Gongshang University at TRECVID 2019: Learn to Search and Describe Videos.
20196
14
Dual Dense Encoding for Zero-Example Video Retrieval.
20184
15
Renmin University of China and Zhejiang Gongshang University at TRECVID 2018: Deep Cross-Modal Embeddings for Video-Text Retrieval.
20189
16
Unsupervised Feature Learning With Symmetrically Connected Convolutional Denoising Auto-encoders.
20163
17
University of Amsterdam and Renmin University at TRECVID 2016: Searching Video, Detecting Events and Describing Video
20165
18 20138
19 20118
20
Samoan parental ethnicity and infant birth-weight in Hawai'i.
20072

About Jianfeng Dong

Jianfeng Dong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Applied Mathematics, having authored 124 papers that have together received 2.2k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (47 papers), Human Pose and Action Recognition (28 papers), Advanced Image and Video Retrieval Techniques (28 papers), Video Analysis and Summarization (20 papers), Domain Adaptation and Few-Shot Learning (15 papers), Metallurgical Processes and Thermodynamics (11 papers), Concrete Corrosion and Durability (9 papers) and Advanced Harmonic Analysis Research (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Civil and Structural Engineering (366 citations) and Artificial Intelligence (539 citations). Jianfeng Dong has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xirong Li, Yuxi Zhao, Xun Yang, Xiaoye Qu, Xun Wang, Meng Wang, Pan Zhou, Weiliang Jin, Daizong Liu and Chaoxi Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Analytical Chemistry.

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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