Qing‐Jie Kong

1.5k total citations
76 papers, 1.1k citations indexed

About

Qing‐Jie Kong is a scholar working on Building and Construction, Pathology and Forensic Medicine and Control and Systems Engineering. According to data from OpenAlex, Qing‐Jie Kong has authored 76 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Building and Construction, 23 papers in Pathology and Forensic Medicine and 21 papers in Control and Systems Engineering. Recurrent topics in Qing‐Jie Kong's work include Traffic Prediction and Management Techniques (28 papers), Spine and Intervertebral Disc Pathology (20 papers) and Traffic control and management (18 papers). Qing‐Jie Kong is often cited by papers focused on Traffic Prediction and Management Techniques (28 papers), Spine and Intervertebral Disc Pathology (20 papers) and Traffic control and management (18 papers). Qing‐Jie Kong collaborates with scholars based in China, United States and New Zealand. Qing‐Jie Kong's co-authors include Yuncai Liu, Yanyan Xu, Yikai Chen, Жипенг Ли, Fenghua Zhu, Ximing Xu, Chao Wei, Shu Lin, Gang Xiong and Reinhard Klette and has published in prestigious journals such as Gastroenterology, Biochemical and Biophysical Research Communications and Journal of Cellular Physiology.

In The Last Decade

Qing‐Jie Kong

72 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qing‐Jie Kong China 19 463 335 251 194 175 76 1.1k
Zhenning Li China 23 352 0.8× 526 1.6× 300 1.2× 24 0.1× 78 0.4× 96 1.7k
Sergio Di Martino Italy 24 318 0.7× 212 0.6× 84 0.3× 34 0.2× 36 0.2× 100 1.6k
Yuchen Fang China 11 294 0.6× 180 0.5× 98 0.4× 30 0.2× 22 0.1× 28 672
Teng Zhou China 26 957 2.1× 574 1.7× 608 2.4× 14 0.1× 86 0.5× 104 2.0k
José Manuel Menéndez Spain 18 158 0.3× 120 0.4× 87 0.3× 23 0.1× 34 0.2× 126 1.2k
Zhiyong Cui China 24 1.3k 2.8× 933 2.8× 680 2.7× 22 0.1× 55 0.3× 78 2.6k
Jonas Fredriksson Sweden 25 136 0.3× 132 0.4× 960 3.8× 34 0.2× 59 0.3× 112 2.2k
Yan Kang China 16 132 0.3× 66 0.2× 70 0.3× 19 0.1× 163 0.9× 74 1.2k
Wenchao Ding China 15 102 0.2× 33 0.1× 164 0.7× 27 0.1× 61 0.3× 49 913

Countries citing papers authored by Qing‐Jie Kong

Since Specialization
Citations

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

Fields of papers citing papers by Qing‐Jie Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qing‐Jie Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Qing‐Jie Kong. A scholar is included among the top collaborators of Qing‐Jie 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 Qing‐Jie Kong. Qing‐Jie Kong 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.
Wang, Junfeng, et al.. (2025). The relationship between OPLL and metabolic disorders. Bone Research. 13(1). 90–90.
2.
Wang, Minjun, Junling Gao, Zhi‐Xuan Li, et al.. (2025). Clusterin Drives Fiber Endocytosis by Mesothelial Cells to Resolve Liver Fibrosis. Gastroenterology. 170(3). 569–583.
3.
4.
Wang, Yuan, Xiaofei Sun, Jiangang Shi, et al.. (2025). Causal Association Between Inflammatory Proteins, Inflammatory Cells, and Cauda Equina Syndrome: A Two-Sample Mendelian Randomization. World Neurosurgery. 197. 123826–123826.
5.
Cheng, Mo, Qing‐Jie Kong, Qing Tian, et al.. (2024). Osteosarcoma-targeted Cu and Ce based oxide nanoplatform for NIR II fluorescence/magnetic resonance dual-mode imaging and ros cascade amplification along with immunotherapy. Journal of Nanobiotechnology. 22(1). 151–151. 8 indexed citations
7.
Kong, Qing‐Jie, et al.. (2023). Valproic acid ameliorates cauda equina injury by suppressing HDAC2‐mediated ferroptosis. CNS Neuroscience & Therapeutics. 30(4). e14524–e14524. 9 indexed citations
8.
Li, Fudong, Xiaofei Sun, Kaiqiang Sun, et al.. (2023). Lupenone improves motor dysfunction in spinal cord injury mice through inhibiting the inflammasome activation and pyroptosis in microglia via the nuclear factor kappa B pathway. Neural Regeneration Research. 19(8). 1802–1811. 25 indexed citations
9.
Sun, Xiaofei, Yuan Wang, Jingchuan Sun, et al.. (2020). Consensus statement on diagnosis and treatment of cervical ossification of posterior longitudinal ligament from Asia Pacific Spine Society (APSS) 2020. Journal of orthopaedic surgery. 28(3). 616635501–616635501. 11 indexed citations
10.
Sun, Xiaofei, Qing‐Jie Kong, Kaiqiang Sun, et al.. (2020). Expression of Nogo-A in dorsal root ganglion in rats with cauda equina injury. Biochemical and Biophysical Research Communications. 527(1). 131–137. 1 indexed citations
11.
Wang, Fei, et al.. (2019). The Emerging Role of lncRNAs in Spinal Cord Injury. BioMed Research International. 2019. 1–9. 24 indexed citations
12.
Kong, Qing‐Jie, Yuan Wang, Yang Liu, et al.. (2017). Neuroprotective Effects of Valproic Acid in a Rat Model of Cauda Equina Injury. World Neurosurgery. 108. 128–136. 5 indexed citations
13.
Chen, Yang, et al.. (2016). Parthenolide Induces Reactive Oxygen Species-Mediated Autophagic Cell Death in Human Osteosarcoma Cells. Cellular Physiology and Biochemistry. 40(1-2). 146–154. 30 indexed citations
14.
Wang, Bin, et al.. (2014). Spatio-Temporal Variable Selection Based Support Vector Regression for Urban Traffic Flow Prediction. Transportation Research Board 93rd Annual MeetingTransportation Research Board. 6 indexed citations
15.
Lin, Shu & Qing‐Jie Kong. (2014). A model-based demand-balance control for complex urban traffic networks. 2900–2905. 3 indexed citations
16.
Kong, Qing‐Jie, et al.. (2012). A GPS-track-based method for automatically generating road-network vector map. Chinese Control Conference. 42(8). 7256–7260. 3 indexed citations
17.
Xu, Yanyan, Qing‐Jie Kong, Shu Lin, & Yuncai Liu. (2012). Urban traffic flow prediction based on road network model. 7. 334–339. 22 indexed citations
18.
Kong, Qing‐Jie, et al.. (2011). An improved method for estimating urban traffic state via probe vehicle tracking. Chinese Control Conference. 5586–5590. 5 indexed citations
19.
Zhao, Qiankun, Qing‐Jie Kong, Yingjie Xia, & Yuncai Liu. (2011). Sample size analysis of GPS probe vehicles for urban traffic state estimation. 68. 272–276. 13 indexed citations
20.
Kong, Qing‐Jie. (2005). Forecasting model using rough sets and orthogonal wavelet networks. Systems engineering and electronics. 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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