Qingkai Wang

2.2k total citations · 2 hit papers
62 papers, 1.9k citations indexed

About

Qingkai Wang is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Mechanical Engineering. According to data from OpenAlex, Qingkai Wang has authored 62 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Atomic and Molecular Physics, and Optics, 19 papers in Electrical and Electronic Engineering and 15 papers in Mechanical Engineering. Recurrent topics in Qingkai Wang's work include Mineral Processing and Grinding (12 papers), Plasmonic and Surface Plasmon Research (10 papers) and Advanced Fiber Laser Technologies (9 papers). Qingkai Wang is often cited by papers focused on Mineral Processing and Grinding (12 papers), Plasmonic and Surface Plasmon Research (10 papers) and Advanced Fiber Laser Technologies (9 papers). Qingkai Wang collaborates with scholars based in China, Netherlands and Macao. Qingkai Wang's co-authors include Yuanjiang Xiang, Shuangchun Wen, Chujun Zhao, Xiaoyu Dai, Jun Guo, Leiming Wu, Han Zhang, Yu Chen, Guobao Jiang and Shunbin Lu and has published in prestigious journals such as Advanced Materials, Applied Physics Letters and Scientific Reports.

In The Last Decade

Qingkai Wang

58 papers receiving 1.9k citations

Hit Papers

Ytterbium-doped fiber laser passively mode locked by few-... 2014 2026 2018 2022 2014 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingkai Wang China 21 1.1k 940 626 550 246 62 1.9k
Fufei Pang China 28 1.9k 1.8× 986 1.0× 517 0.8× 392 0.7× 177 0.7× 287 2.5k
Koji Sato Japan 20 604 0.6× 1.3k 1.3× 342 0.5× 456 0.8× 514 2.1× 123 2.2k
Lei Su United Kingdom 21 829 0.8× 549 0.6× 383 0.6× 261 0.5× 190 0.8× 84 1.4k
Zhi Jin China 28 2.0k 1.9× 602 0.6× 774 1.2× 1.5k 2.7× 375 1.5× 325 3.2k
Peiqing Zhang China 25 1.7k 1.6× 881 0.9× 544 0.9× 815 1.5× 146 0.6× 194 2.5k
Liying Liu China 26 1.3k 1.2× 1.1k 1.1× 268 0.4× 181 0.3× 143 0.6× 95 1.9k
Shiqiao Qin China 32 1.1k 1.0× 715 0.8× 1.5k 2.4× 1.1k 2.0× 1.2k 5.0× 102 2.9k
Jay Cheng Taiwan 23 1.1k 1.1× 686 0.7× 411 0.7× 1.2k 2.1× 284 1.2× 95 2.4k
Arvind Kumar India 28 1.8k 1.7× 1.1k 1.2× 308 0.5× 570 1.0× 137 0.6× 128 2.8k

Countries citing papers authored by Qingkai Wang

Since Specialization
Citations

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

Fields of papers citing papers by Qingkai Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qingkai Wang

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

All Works

20 of 20 papers shown
1.
Lu, Peng, et al.. (2025). Seasonal evolution of brackish ice microstructure during growth and decay processes. Cold Regions Science and Technology. 242. 104740–104740.
2.
Zhang, Kanghui, et al.. (2025). An efficient anchor-free model for ore particle size detection. Engineering Applications of Artificial Intelligence. 162. 112304–112304.
3.
Wu, Xinghua, et al.. (2024). Nonlinear Optical Bistability Based on Surface Plasmons with Nonlinear Dirac Semimetal Substrate. Coatings. 14(4). 394–394. 2 indexed citations
4.
Lu, Bo, et al.. (2024). An alternative rotating object detection method for rock particle size distribution analysis. Powder Technology. 444. 120059–120059. 9 indexed citations
5.
Lü, Bo, et al.. (2023). Fusion-based color and depth image segmentation method for rocks on conveyor belt. Minerals Engineering. 199. 108107–108107. 10 indexed citations
6.
Wang, Qingkai, Jinying Bao, Lixuan Liu, et al.. (2023). High-performance near-infrared narrowband circularly polarized light organic photodetectors. Nano Today. 54. 102132–102132. 16 indexed citations
7.
Liu, Lixuan, Yang Yang, Stefan C. J. Meskers, et al.. (2023). Fused‐Ring Electron‐Acceptor Single Crystals with Chiral 2D Supramolecular Organization for Anisotropic Chiral Optoelectronic Devices. Advanced Materials. 35(45). e2304627–e2304627. 21 indexed citations
8.
Wang, Qingkai, et al.. (2023). STMultiple: Sparse Transformer Based on RFID for Multi-Object Activity Recognition. International Journal of Software Engineering and Knowledge Engineering. 33(11n12). 1813–1833. 1 indexed citations
9.
Wang, Qingkai, Yajie Zhang, & Zhixiang Wei. (2022). Recent Progress on OrganicNear‐InfraredPhotodetectors: Mechanism, Devices, and Applications. Chinese Journal of Chemistry. 41(8). 958–978. 49 indexed citations
10.
Yan, Hao, Fuli Wang, Dakuo He, & Qingkai Wang. (2020). An Operational Adjustment Framework for a Complex Industrial Process Based on Hybrid Bayesian Network. IEEE Transactions on Automation Science and Engineering. 17(4). 1699–1710. 21 indexed citations
11.
Yan, Hao, Fuli Wang, Dakuo He, Luping Zhao, & Qingkai Wang. (2020). Bayesian Network-Based Modeling and Operational Adjustment of Plantwide Flotation Industrial Process. Industrial & Engineering Chemistry Research. 59(5). 2025–2035. 16 indexed citations
12.
Wang, Guoqing, et al.. (2020). High and Low Temperature Performance of High-Content RubberPowder Modified Asphalt Mortar. Journal of Chongqing Jiaotong University. 39(8). 90. 1 indexed citations
13.
Yang, Daolong, et al.. (2020). Simulation study on interaction coefficient of DEM in non–spherical large size (5–30 mm) coal particles. Particuology. 53. 142–153. 10 indexed citations
14.
Liu, Hongfei, et al.. (2020). Tunable graphene-based terahertz absorber via an external magnetic field. Optical Materials Express. 10(2). 501–501. 32 indexed citations
15.
Wu, Leiming, Jun Guo, Qingkai Wang, et al.. (2017). Sensitivity enhancement by using few-layer black phosphorus-graphene/TMDCs heterostructure in surface plasmon resonance biochemical sensor. Sensors and Actuators B Chemical. 249. 542–548. 377 indexed citations breakdown →
16.
Jiang, Leyong, Jun Guo, Qingkai Wang, Xiaoyu Dai, & Yuanjiang Xiang. (2016). Perfect Terahertz Absorption with Graphene Surface Plasmons in the Modified Otto Configuration. Plasmonics. 12(6). 1825–1831. 22 indexed citations
17.
Miao, Lili, Jun Yi, Qingkai Wang, et al.. (2016). Broadband third order nonlinear optical responses of bismuth telluride nanosheets. Optical Materials Express. 6(7). 2244–2244. 58 indexed citations
18.
Wang, Xu, et al.. (2015). An intelligent control strategy for thickening process. International Journal of Mineral Processing. 142. 56–62. 14 indexed citations
19.
Du, Juan, Qingkai Wang, Guobao Jiang, et al.. (2014). Ytterbium-doped fiber laser passively mode locked by few-layer Molybdenum Disulfide (MoS2) saturable absorber functioned with evanescent field interaction. Scientific Reports. 4(1). 6346–6346. 420 indexed citations breakdown →
20.
Guo, Jun, et al.. (2013). Electrically controlled Goos-Hänchen shift of a light beam reflected from the metal-insulator-semiconductor structure. Optics Express. 21(9). 10430–10430. 45 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026