Jun Qin

1.2k total citations · 1 hit paper
43 papers, 803 citations indexed

About

Jun Qin is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, Jun Qin has authored 43 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Electrical and Electronic Engineering, 14 papers in Atomic and Molecular Physics, and Optics and 8 papers in Artificial Intelligence. Recurrent topics in Jun Qin's work include Photonic and Optical Devices (17 papers), Optical Network Technologies (16 papers) and Advanced Photonic Communication Systems (12 papers). Jun Qin is often cited by papers focused on Photonic and Optical Devices (17 papers), Optical Network Technologies (16 papers) and Advanced Photonic Communication Systems (12 papers). Jun Qin collaborates with scholars based in China, United States and Japan. Jun Qin's co-authors include Haowen Shu, Yuansheng Tao, Ming Jin, Xingjun Wang, Zihan Tao, Bitao Shen, Ruixuan Chen, Danshi Wang, Min Zhang and John E. Bowers and has published in prestigious journals such as Nature, Chemical Engineering Journal and Science Advances.

In The Last Decade

Jun Qin

38 papers receiving 732 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Microcomb-driven silicon photonic systems

2022 241 citations Haowen Shu, Lin Chang et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jun Qin China	13	655	366	163	77	41	43	803
Christine P. Chen United States	11	1.1k 1.7×	449 1.2×	104 0.6×	78 1.0×	37 0.9×	18	1.2k
Paolo Martelli Italy	16	731 1.1×	341 0.9×	72 0.4×	99 1.3×	23 0.6×	103	873
Lê Nguyên Bình Australia	15	592 0.9×	325 0.9×	48 0.3×	49 0.6×	25 0.6×	106	675
Zihan Tao China	11	630 1.0×	409 1.1×	221 1.4×	46 0.6×	25 0.6×	22	777
Deming Kong China	18	961 1.5×	436 1.2×	92 0.6×	79 1.0×	21 0.5×	104	1.0k
S. Mitatha Thailand	14	463 0.7×	344 0.9×	88 0.5×	119 1.5×	9 0.2×	103	609
Noam Ophir United States	14	1.2k 1.8×	521 1.4×	122 0.7×	102 1.3×	52 1.3×	45	1.3k
Bitao Shen China	13	755 1.2×	469 1.3×	265 1.6×	58 0.8×	35 0.9×	27	909
Sangsik Kim United States	17	702 1.1×	648 1.8×	62 0.4×	154 2.0×	31 0.8×	61	923

Countries citing papers authored by Jun Qin

Since Specialization

Citations

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

Fields of papers citing papers by Jun Qin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Qin. A scholar is included among the top collaborators of Jun Qin 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 Jun Qin. Jun Qin 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:

20 of 20 papers shown

1.

Lei, Tongda, et al.. (2025). Principles, applications, and challenges of E-skin: A mini-review. Chemical Engineering Journal. 521. 166936–166936.

2.

Zhu, Kejia, et al.. (2024). Coherence evolution of multi-pulse pumped supercontinuum generation in all-normal dispersion fibers. Optics Express. 32(16). 27805–27805. 1 indexed citations

3.

Han, Changhao, Jun Qin, Zheng Zhao, et al.. (2024). PAM-4 optical transmission beyond 224 Gbps based on an ultrahigh-bandwidth slow-light silicon modulator. 4. AM4J.3–AM4J.3. 1 indexed citations

4.

Deng, Qingzhong, Ming Jin, Jun Qin, et al.. (2023). On‐Chip Light Polarization Management by Mapping the Polarization Information to Phase Shift. Laser & Photonics Review. 18(1). 5 indexed citations

5.

Zhu, Kejia, et al.. (2023). Evolution of inter-pulse non-frequency shift components in multi-pulse pumped supercontinuum generation with normal dispersion. 9. 51–51. 1 indexed citations

6.

Shu, Haowen, Lin Chang, Yuansheng Tao, et al.. (2022). Microcomb-driven silicon photonic systems. Nature. 605(7910). 457–463. 241 indexed citations breakdown →

7.

Song, Yan‐Yan, et al.. (2021). Design of Mobile Augmented Reality System Based on SLAM. 43–46.

8.

Tao, Yuansheng, Haowen Shu, Xingjun Wang, et al.. (2021). Hybrid-integrated high-performance microwave photonic filter with switchable response. Photonics Research. 9(8). 1569–1569. 58 indexed citations

9.

Wang, Xiaoxin, Shaoliang Yu, Jun Qin, et al.. (2020). Low-Voltage, Coupled Multiple Quantum Well Electroreflective Modulators Towards Ultralow Power Inter-Chip Optical Interconnects. Journal of Lightwave Technology. 38(13). 3414–3421. 8 indexed citations

10.

Geiger, Sarah, Jérôme Michon, Siyi Liu, et al.. (2020). Flexible and Stretchable Photonics: The Next Stretch of Opportunities. ACS Photonics. 7(10). 2618–2635. 66 indexed citations

11.

Wang, Danshi, Yuchen Song, Jin Li, et al.. (2020). Data-driven Optical Fiber Channel Modeling: A Deep Learning Approach. Journal of Lightwave Technology. 38(17). 4730–4743. 101 indexed citations

12.

Wang, Danshi, Min Zhang, Jin Li, et al.. (2019). Comprehensive Eye Diagram Analysis: A Transfer Learning Approach. IEEE photonics journal. 11(6). 1–19. 20 indexed citations

13.

Zhan, Jie, et al.. (2018). A Novel Nanotube-Based Fiber Laser for Ultrashort Pulse Generation and Fast Measurements. 7(2). 24–34. 1 indexed citations

14.

Qin, Jun, Yuefeng Ji, Hongxiang Wang, et al.. (2015). Multichannel wavelength multicasting for two QPSK signals based on four-wave mixing in semiconductor optical amplifier. Chinese Optics Letters. 13(1). 130601–130601. 1 indexed citations

15.

Qin, Jun, Guo-Wei Lu, Takahide Sakamoto, et al.. (2014). Simultaneous multichannel wavelength multicasting and XOR logic gate multicasting for three DPSK signals based on four-wave mixing in quantum-dot semiconductor optical amplifier. Optics Express. 22(24). 29413–29413. 19 indexed citations

16.

Wang, Danshi, Min Zhang, Jun Qin, et al.. (2014). Multifunctional switching unit for add/drop, wavelength conversion, format conversion, and WDM multicast based on bidirectional LCoS and SOA-loop architecture. Optics Express. 22(18). 21847–21847. 11 indexed citations

17.

Qin, Jun. (2010). Support Vector Machines Based Algorithm for the Disastrous Weather Forecast. 1 indexed citations

18.

Qin, Zheng, et al.. (2007). Automatic Semantic Web Service Composition via Agent Intention Execution in AgentSpeak. 564–567. 13 indexed citations

19.

Qin, Jun, et al.. (2005). Parallel Motif Search using ParSeq.. 46(4). 601–607. 5 indexed citations

20.

Qin, Jun. (2002). The Modeling Method Study of Fault Fuzzy Forecast System. 3 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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