Jing Song

618 total citations
23 papers, 472 citations indexed

About

Jing Song is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Jing Song has authored 23 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biomedical Engineering, 7 papers in Electrical and Electronic Engineering and 5 papers in Automotive Engineering. Recurrent topics in Jing Song's work include Innovative Microfluidic and Catalytic Techniques Innovation (10 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers) and Catalytic Processes in Materials Science (3 papers). Jing Song is often cited by papers focused on Innovative Microfluidic and Catalytic Techniques Innovation (10 papers), Microfluidic and Capillary Electrophoresis Applications (7 papers) and Catalytic Processes in Materials Science (3 papers). Jing Song collaborates with scholars based in China, Uzbekistan and United States. Jing Song's co-authors include Ji‐Xuan Liu, Xiwei Huang, Jin Chen, Dandan Xu, Xing Ma, Jinhong Guo, Jian Deng, Guangsheng Luo, Liang Kong and Chencan Du and has published in prestigious journals such as Scientific Reports, Chemical Engineering Journal and Physical Chemistry Chemical Physics.

In The Last Decade

Jing Song

19 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jing Song China	9	321	137	78	72	60	23	472
Alexander Lambert United States	14	182 0.6×	184 1.3×	70 0.9×	142 2.0×	41 0.7×	26	461
Seungwan Kim South Korea	17	384 1.2×	135 1.0×	195 2.5×	404 5.6×	32 0.5×	52	820
Chan-Chiung Liu Taiwan	15	825 2.6×	272 2.0×	49 0.6×	176 2.4×	7 0.1×	15	963
Shuai Zhou China	10	124 0.4×	63 0.5×	39 0.5×	58 0.8×	8 0.1×	23	284
Zishuo Wang China	10	65 0.2×	54 0.4×	142 1.8×	97 1.3×	7 0.1×	65	427
Daipayan Sarkar United States	13	87 0.3×	147 1.1×	86 1.1×	45 0.6×	23 0.4×	37	414
Sang-Young Yoon South Korea	14	88 0.3×	134 1.0×	72 0.9×	114 1.6×	42 0.7×	42	447
Peng Shen China	13	189 0.6×	209 1.5×	182 2.3×	61 0.8×	14 0.2×	35	612
Jiaqi Chen China	9	179 0.6×	85 0.6×	27 0.3×	43 0.6×	14 0.2×	26	344

Countries citing papers authored by Jing Song

Since Specialization

Citations

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

Fields of papers citing papers by Jing Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Song

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

All Works

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20 of 20 papers shown

Chen, Wei‐Hua, et al.. (2025). On-machine measurement and compensation for thin-walled surfaces using LLT sensors. Measurement. 256. 117976–117976.

Liu, Mengqi, Jing Song, Li Ma, et al.. (2025). Modeling and analysis of droplet generation in microchannels using interpretable machine learning methods. Chemical Engineering Journal. 511. 161972–161972. 3 indexed citations

Sun, Lin, et al.. (2025). Remaining useful life prediction of lithium batteries based on jump connection multi-scale CNN. Scientific Reports. 15(1). 32873–32873.

Song, Jing, et al.. (2025). Regulating the Characteristic Networks of Biodegradable Poly(l-malic acid-ε-caprolactone) Shape-Memory Materials: From Plastics to Elastomers. Biomacromolecules. 26(4). 2720–2732.

Sun, Lin, et al.. (2024). Remaining useful life prediction of lithium-ion batteries combined with SVD-SDAE and support vector quantile regression. 4(1).

Song, Jing, Bo Cheng, Yujun Wang, Jian Deng, & Guangsheng Luo. (2023). A microfluidic chip structure with ultra-high liquid-liquid mass transfer performance. Separation and Purification Technology. 324. 124440–124440. 7 indexed citations

Wang, Junjie, Jing Song, Lin Sheng, Jian Deng, & Guangsheng Luo. (2023). Microdispersion of Gas or Water in an Anthraquinone Working Solution for the H₂O₂ Synthesis Process Intensification. Industrial & Engineering Chemistry Research. 62(3). 1695–1705. 11 indexed citations

Li, Shuqin, et al.. (2023). Design of a Functionally Graded Material Phonon Crystal Plate and Its Application in a Bridge. Applied Sciences. 13(13). 7677–7677. 1 indexed citations

Song, Jing, et al.. (2023). Accurate determination of the kinetics of toluene nitration in a liquid–liquid microflow system. Journal of Flow Chemistry. 13(3). 311–323. 7 indexed citations

10.

Song, Jing, Chencan Du, Junjie Wang, et al.. (2022). A novel observation platform for determining the micro-dispersion performance in practical reaction systems. Reaction Chemistry & Engineering. 7(11). 2322–2333. 5 indexed citations

11.

Xu, Rui, Jing Song, Changsheng Deng, et al.. (2022). An improvement of microfluidic‐assisted internal gelation in the preparation of millimeter‐sized ceramic microspheres. Journal of the American Ceramic Society. 105(8). 5045–5057. 2 indexed citations

12.

Song, Jing, et al.. (2022). Determination of the kinetics of chlorobenzene nitration using a homogeneously continuous microflow. AIChE Journal. 68(4). 33 indexed citations

13.

Song, Jing, Lin Sheng, Shi Wang, et al.. (2022). Liquid-liquid colliding micro-dispersion and general scaling laws in novel T-junction microdevices. Chemical Engineering Science. 258. 117746–117746. 11 indexed citations

14.

Song, Jing, et al.. (2021). Kinetic study ofo-nitrotoluene nitration in a homogeneously continuous microflow. Reaction Chemistry & Engineering. 7(1). 111–122. 21 indexed citations

15.

Wu, Linfeng, et al.. (2020). Revealing the detailed structure in flow-induced crystallization of semicrystalline polymers. Physical Chemistry Chemical Physics. 22(43). 25206–25214. 8 indexed citations

16.

Song, Jing, et al.. (2017). Flight control of a flying-wing UAV based on active disturbance rejection control. 50–55. 4 indexed citations

17.

Song, Jing, et al.. (2015). The Ascent Trajectory Optimization of Two-Stage-To-Orbit Aerospace Plane Based on Pseudospectral Method. Procedia Engineering. 99. 1044–1048. 3 indexed citations

18.

Li, Dachuan, et al.. (2012). Design and Development of an Integrated Flight Planning and Rehearsal System Based on GIS and Navigation Database. Applied Mechanics and Materials. 232. 169–177. 2 indexed citations

19.

Song, Jing, et al.. (2009). Comprehensive prediction method of road friction for vehicle dynamics control. Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering. 223(8). 987–1002. 48 indexed citations

20.

Li, Liang, Jing Song, Liang Kong, & Qiushi Huang. (2009). Vehicle velocity estimation for real-time dynamic stability control. International Journal of Automotive Technology. 10(6). 675–685. 18 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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