Qing Jin

704 total citations
14 papers, 336 citations indexed

About

Qing Jin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Qing Jin has authored 14 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Qing Jin's work include Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Advanced Memory and Neural Computing (3 papers). Qing Jin is often cited by papers focused on Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Advanced Memory and Neural Computing (3 papers). Qing Jin collaborates with scholars based in United States, China and Mexico. Qing Jin's co-authors include Linjie Yang, Zhenyu Liao, Yanzhi Wang, Kaiyuan Yang, Zhanghao Yu, Jingyu Wang, Zhiyu Chen, Yan He, Sheng Lin and Geng Yuan and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, arXiv (Cornell University) and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Qing Jin

14 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Qing Jin United States	9	158	151	115	32	22	14	336
Bingyi Zhang United States	10	153 1.0×	102 0.7×	159 1.4×	31 1.0×	15 0.7×	31	287
Wenping Zhu China	10	122 0.8×	117 0.8×	137 1.2×	42 1.3×	19 0.9×	34	306
Jinwei Xu China	9	180 1.1×	130 0.9×	95 0.8×	35 1.1×	9 0.4×	30	298
Wenshuo Li China	7	129 0.8×	114 0.8×	113 1.0×	18 0.6×	9 0.4×	10	222
Shijie Li China	10	140 0.9×	87 0.6×	101 0.9×	17 0.5×	7 0.3×	24	250
Zhenglun Kong United States	9	103 0.7×	89 0.6×	76 0.7×	22 0.7×	15 0.7×	32	250
Philipp Gysel United States	4	251 1.6×	197 1.3×	123 1.1×	47 1.5×	5 0.2×	5	347
Linyan Mei Belgium	9	122 0.8×	187 1.2×	66 0.6×	83 2.6×	17 0.8×	17	300
Tianyun Zhang United States	9	169 1.1×	75 0.5×	147 1.3×	18 0.6×	13 0.6×	20	298
Mengshu Sun United States	8	135 0.9×	161 1.1×	95 0.8×	36 1.1×	31 1.4×	23	306

Countries citing papers authored by Qing Jin

Since Specialization

Citations

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

Fields of papers citing papers by Qing Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing Jin

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Li, Yanyu, Pu Zhao, Geng Yuan, et al.. (2023). Towards Real-Time Segmentation on the Edge. Proceedings of the AAAI Conference on Artificial Intelligence. 37(2). 1468–1476. 6 indexed citations

Chen, Zhiyu, Qing Jin, Zhanghao Yu, Yanzhi Wang, & Kaiyuan Yang. (2022). DCT-RAM: A Driver-Free Process-In-Memory 8T SRAM Macro with Multi-Bit Charge-Domain Computation and Time-Domain Quantization. 1–2. 10 indexed citations

Chen, Zhiyu, Zhanghao Yu, Qing Jin, et al.. (2021). CAP-RAM: A Charge-Domain In-Memory Computing 6T-SRAM for Accurate and Precision-Programmable CNN Inference. IEEE Journal of Solid-State Circuits. 56(6). 1924–1935. 89 indexed citations

Li, Zhengang, Geng Yuan, Wei Niu, et al.. (2021). NPAS: A Compiler-aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. 14250–14261. 15 indexed citations

Yang, Linjie & Qing Jin. (2021). FracBits: Mixed Precision Quantization via Fractional Bit-Widths. Proceedings of the AAAI Conference on Artificial Intelligence. 35(12). 10612–10620. 41 indexed citations

Chen, Zhiyu, Qing Jin, Jingyu Wang, Yanzhi Wang, & Kaiyuan Yang. (2021). MC²-RAM: An In-8T-SRAM Computing Macro Featuring Multi-Bit Charge-Domain Computing and ADC-Reduction Weight Encoding. 1–6. 11 indexed citations

Jin, Qing, Jian Ren, Oliver J. Woodford, et al.. (2021). Teachers Do More Than Teach: Compressing Image-to-Image Models. 13595–13606. 35 indexed citations

Li, Zhengang, Geng Yuan, Wei Niu, et al.. (2020). 6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration.. arXiv (Cornell University). 1 indexed citations

Jin, Qing, Linjie Yang, & Zhenyu Liao. (2020). AdaBits: Neural Network Quantization With Adaptive Bit-Widths. 2143–2153. 79 indexed citations

10.

Jin, Qing, Linjie Yang, Zhenyu Liao, & Xiaoning Qian. (2020). Neural Network Quantization with Scale-Adjusted Training. 6 indexed citations

11.

Yu, Zhanghao, et al.. (2019). A 0.84pJ/cycle Wheatstone Bridge Based CMOS RC Oscillator with Reconfigurable Frequencies. 1–4. 17 indexed citations

12.

Jin, Qing, et al.. (2017). Intention recognition of aerial targets based on Bayesian optimization algorithm. 356–359. 23 indexed citations

13.

Jin, Qing, Kaiyuan Yang, Chunyuan Zhou, et al.. (2012). A transformer-based filtering technique to lower LC-oscillator phase noise. 1383–1386. 2 indexed citations

14.

Chen, Dianjun, Takeshi Hashimoto, Zheng Zhou, et al.. (2010). Spreading matrices from PN sequences. e87 a. 372–377. 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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