Deqian Kong

617 total citations
11 papers, 460 citations indexed

About

Deqian Kong is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Deqian Kong has authored 11 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electrical and Electronic Engineering, 4 papers in Materials Chemistry and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Deqian Kong's work include Ferroelectric and Negative Capacitance Devices (4 papers), Advanced Memory and Neural Computing (4 papers) and Ferroelectric and Piezoelectric Materials (3 papers). Deqian Kong is often cited by papers focused on Ferroelectric and Negative Capacitance Devices (4 papers), Advanced Memory and Neural Computing (4 papers) and Ferroelectric and Piezoelectric Materials (3 papers). Deqian Kong collaborates with scholars based in China and United States. Deqian Kong's co-authors include Mohsen Imani, Abbas Rahimi, Tajana Rosing, Tajana Rosing, Jan M. Rabaey, C.I. Huang, Yong Chen, Yixin Chen, Song‐Chun Zhu and Qing Li and has published in prestigious journals such as Optics Communications and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Deqian Kong

9 papers receiving 455 citations

Peers

Deqian Kong

EEE

AI

HA

MC

CVPR

Sahand Salamat United States

Justin Morris United States

Zhuowen Zou United States

Minxuan Zhou United States

Fu-Chun Chang Taiwan

Tai-Hao Wen Taiwan

U. Cilingiroglu Türkiye

Qiaosha Zou China

Yun-Chen Lo Taiwan

Zamshed I. Chowdhury United States

Sahand Salamat United States

Deqian Kong

353 ×0.9

EEE

187 ×1.0

AI

85 ×1.4

HA

32 ×0.5

MC

30 ×0.8

CVPR

Citations per year, relative to Deqian Kong Deqian Kong (= 1×) peers Sahand Salamat

Countries citing papers authored by Deqian Kong

Since Specialization

Citations

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

Fields of papers citing papers by Deqian Kong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deqian Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Deqian Kong. A scholar is included among the top collaborators of Deqian Kong 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 Deqian Kong. Deqian Kong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Kong, Deqian, Furqan Khan, Xu Zhang, Prateek Singhal, & Ying Wu. (2024). Long-Term Social Interaction Context: The Key to Egocentric Addressee Detection. 8250–8254.

2.

Honig, E, Yu-Hao Huang, Deqian Kong, et al.. (2024). Molecule Design by Latent Prompt Transformer. 89069–89097.

3.

Chen, Yixin, Qing Li, Deqian Kong, et al.. (2021). YouRefIt: Embodied Reference Understanding with Language and Gesture. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1365–1375. 19 indexed citations

4.

Kong, Deqian, et al.. (2019). A Benchmark Dataset and Multi-Scale Attention Network for Semantic Traffic Light Detection. 5 indexed citations

5.

Imani, Mohsen, C.I. Huang, Deqian Kong, & Tajana Rosing. (2018). Hierarchical hyperdimensional computing for energy efficient classification. 1–6. 42 indexed citations

6.

Imani, Mohsen, C.I. Huang, Deqian Kong, & Tajana Rosing. (2018). Hierarchical Hyperdimensional Computing for Energy Efficient Classification. 1–6. 31 indexed citations

7.

Chen, Yong, et al.. (2017). Optimization lighting layout based on gene density improved genetic algorithm for indoor visible light communications. Optics Communications. 390. 76–81. 30 indexed citations

8.

Imani, Mohsen, Deqian Kong, Abbas Rahimi, & Tajana Rosing. (2017). VoiceHD: Hyperdimensional Computing for Efficient Speech Recognition. 1–8. 162 indexed citations

9.

Imani, Mohsen, Abbas Rahimi, Deqian Kong, Tajana Rosing, & Jan M. Rabaey. (2017). Exploring Hyperdimensional Associative Memory. 445–456. 163 indexed citations

10.

Liu, Huanlin, et al.. (2016). Multicast contention resolution based on time-frequency joint scheduling in elastic optical switching networks. Optics Communications. 383. 441–445. 7 indexed citations

11.

Kong, Deqian, et al.. (2013). A dynamic computation offloading framework for Android. 134–138. 1 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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