Junlong Du

518 total citations
13 papers, 181 citations indexed

About

Junlong Du is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Junlong Du has authored 13 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Junlong Du's work include Advanced Neural Network Applications (3 papers), Video Surveillance and Tracking Methods (2 papers) and Agriculture and Rural Development Research (2 papers). Junlong Du is often cited by papers focused on Advanced Neural Network Applications (3 papers), Video Surveillance and Tracking Methods (2 papers) and Agriculture and Rural Development Research (2 papers). Junlong Du collaborates with scholars based in China, France and Argentina. Junlong Du's co-authors include Ke Yan, Yi Xin, Shouhong Ding, Feiyue Huang, Qiang Wang, Xing Sun, Chong Zhou, Wei‐Shi Zheng, Xiaowei Guo and Pai Peng and has published in prestigious journals such as annales de biologie animale biochimie biophysique, Proceedings of the AAAI Conference on Artificial Intelligence and Annales de Zootechnie.

In The Last Decade

Junlong Du

13 papers receiving 176 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Junlong Du China 7 93 52 32 22 15 13 181
Juntao Zhang China 7 131 1.4× 32 0.6× 6 0.2× 11 0.5× 5 0.3× 19 242
Simeng Feng China 11 20 0.2× 25 0.5× 24 0.8× 9 0.4× 3 0.2× 28 309
Chaoyang Wang China 10 127 1.4× 31 0.6× 6 0.2× 19 1.3× 18 218
B. G. Vijay Kumar India 6 172 1.8× 54 1.0× 8 0.3× 6 0.3× 9 214
J. Afonso Portugal 8 73 0.8× 5 0.1× 35 1.1× 90 4.1× 62 4.1× 12 214
Yeong Jun Koh South Korea 12 315 3.4× 20 0.4× 2 0.1× 24 1.1× 34 2.3× 35 408
Borui Wang China 9 124 1.3× 136 2.6× 3 0.1× 8 0.4× 6 0.4× 29 288
Leslie Overs Australia 5 17 0.2× 11 0.2× 20 0.6× 23 1.0× 24 1.6× 9 174
Faroq AL-Tam Portugal 9 18 0.2× 11 0.2× 5 0.2× 2 0.1× 39 2.6× 21 294
Yaqi Xie China 6 20 0.2× 48 0.9× 4 0.1× 2 0.1× 21 182

Countries citing papers authored by Junlong Du

Since Specialization
Citations

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

Fields of papers citing papers by Junlong Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junlong Du

This figure shows the co-authorship network connecting the top 25 collaborators of Junlong Du. A scholar is included among the top collaborators of Junlong Du based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junlong Du. Junlong Du is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Xin, Yi, et al.. (2024). MmAP: Multi-Modal Alignment Prompt for Cross-Domain Multi-Task Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(14). 16076–16084. 40 indexed citations
2.
Luo, Yunpeng, et al.. (2024). LaRE2: Latent Reconstruction Error Based Method for Diffusion-Generated Image Detection. 17006–17015. 6 indexed citations
3.
Xin, Yi, et al.. (2024). VMT-Adapter: Parameter-Efficient Transfer Learning for Multi-Task Dense Scene Understanding. Proceedings of the AAAI Conference on Artificial Intelligence. 38(14). 16085–16093. 33 indexed citations
4.
Du, Junlong, et al.. (2023). Seeing in Flowing: Adapting CLIP for Action Recognition with Motion Prompts Learning. 5339–5347. 9 indexed citations
5.
Du, Junlong, et al.. (2022). Lifelong Person Re-identification by Pseudo Task Knowledge Preservation. Proceedings of the AAAI Conference on Artificial Intelligence. 36(1). 688–696. 26 indexed citations
6.
Zhou, Chong, Pai Peng, Junlong Du, et al.. (2020). NOH-NMS. 1967–1975. 31 indexed citations
7.
Du, Junlong, et al.. (1994). Aptitude des vaches à la traite mécanique : relations avec certaines caractéristiques physiques du trayon. Annales de Zootechnie. 43(1). 77–90. 6 indexed citations
8.
9.
Du, Junlong, et al.. (1984). Aptitude des chèvres de race Saanen à la traite mécanique. Relations avec les caractéristiques physiques du trayon. Annales de Zootechnie. 33(3). 375–384. 19 indexed citations
10.
Du, Junlong, et al.. (1982). Comparaison de matériel de traite pour brebis : manchons en silicone ou en caoutchouc, gobelets en inox ou en plastique. Annales de Zootechnie. 31(2). 139–148. 4 indexed citations
11.
Du, Junlong, et al.. (1977). Machine à traire pour brebis : relations entre les caractéristiques de la pulsation et le mouvement du manchon. Annales de Zootechnie. 26(1). 1–14. 1 indexed citations
12.
Du, Junlong, et al.. (1977). Machine à traire : paramètres physiques caractérisant le fonctionnement du manchon trayeur. annales de biologie animale biochimie biophysique. 17(6). 971–985. 1 indexed citations
13.
LABUSSIÈRE, J., et al.. (1974). EFFETS DE LA VITESSE ET DU RAPPORT DE PULSATION SUR LES CARACTÉRISTIQUES DE TRAITE A LA MACHINE DES BREBIS PRÉALPES DU SUD. Annales de Zootechnie. 23(4). 459–480. 2 indexed citations

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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