Changfeng Jing

746 total citations
56 papers, 476 citations indexed

About

Changfeng Jing is a scholar working on Transportation, Building and Construction and Media Technology. According to data from OpenAlex, Changfeng Jing has authored 56 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Transportation, 10 papers in Building and Construction and 9 papers in Media Technology. Recurrent topics in Changfeng Jing's work include Human Mobility and Location-Based Analysis (15 papers), Traffic Prediction and Management Techniques (10 papers) and Land Use and Ecosystem Services (7 papers). Changfeng Jing is often cited by papers focused on Human Mobility and Location-Based Analysis (15 papers), Traffic Prediction and Management Techniques (10 papers) and Land Use and Ecosystem Services (7 papers). Changfeng Jing collaborates with scholars based in China, Canada and Hong Kong. Changfeng Jing's co-authors include Yi Wang, Mingyi Du, Shishuo Xu, Tao Guo, Songnian Li, Siyuan Liu, Qiang Chen, Vincent Chaplot, Guangqi Zhang and Nathan Moore and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Changfeng Jing

48 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Changfeng Jing China	12	157	147	81	62	54	56	476
Yikang Rui China	15	240 1.5×	250 1.7×	116 1.4×	31 0.5×	148 2.7×	54	617
Biao He China	14	108 0.7×	183 1.2×	94 1.2×	26 0.4×	70 1.3×	38	467
Mingyuan Hu Hong Kong	13	201 1.3×	172 1.2×	159 2.0×	12 0.2×	45 0.8×	31	781
Jin Fan China	18	164 1.0×	114 0.8×	52 0.6×	107 1.7×	66 1.2×	72	807
Mingxiao Li China	14	185 1.2×	395 2.7×	127 1.6×	29 0.5×	20 0.4×	72	806
Ivana Šemanjski Belgium	14	130 0.8×	296 2.0×	62 0.8×	95 1.5×	32 0.6×	40	739
Wengen Li China	15	109 0.7×	113 0.8×	52 0.6×	27 0.4×	43 0.8×	51	493
Zhipeng Gui China	16	72 0.5×	118 0.8×	132 1.6×	21 0.3×	21 0.4×	73	705
Khalid A. Eldrandaly Egypt	15	57 0.4×	38 0.3×	71 0.9×	47 0.8×	22 0.4×	34	515

Countries citing papers authored by Changfeng Jing

Since Specialization

Citations

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

Fields of papers citing papers by Changfeng Jing

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changfeng Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Changfeng Jing. A scholar is included among the top collaborators of Changfeng Jing 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 Changfeng Jing. Changfeng Jing 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

Zhang, Lei, et al.. (2025). CLPM: A Hybrid Network With Cross-Space Learning and Perception-Driven Mechanism for Long-Tailed Remote Sensing Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 14272–14290.

Jin, Shiyuan, et al.. (2025). SASTGCN: Semantic-Augmented Spatio-temporal graph convolutional network for subway flow prediction. International Journal of Applied Earth Observation and Geoinformation. 139. 104530–104530.

Zhao, Xiaoling, et al.. (2025). A hybrid deep learning framework for skin disease localization and classification using wearable sensors. PeerJ Computer Science. 11. e3002–e3002.

Xiao, Zeyu, et al.. (2024). A two-layer graph-convolutional network for spatial interaction imputation from hierarchical functional regions. International Journal of Applied Earth Observation and Geoinformation. 134. 104163–104163.

Jifeng, He, et al.. (2024). Integrating trajectory data and demographic characteristics: a trajectory semantic model for predicting travel flow and conducting interaction analysis. International Journal of Digital Earth. 17(1).

Yao, Sheng, et al.. (2024). A TDFC-RNNs framework integrated temporal convolutional attention mechanism for InSAR surface deformation prediction: A case study in Beijing Plain. International Journal of Applied Earth Observation and Geoinformation. 134. 104199–104199. 2 indexed citations

Jing, Changfeng, et al.. (2023). MULTI-SCALE DYNAMIC PARTITIONING SYSTEM OF URBAN SPATIAL UNITS. SHILAP Revista de lepidopterología. X-1/W1-2023. 405–411.

Cheng, Lijun, et al.. (2023). ResNet-based dairy daily behavior recognition. EAI Endorsed Transactions on Internet of Things. 9(2). e5–e5. 1 indexed citations

Xu, Shishuo, Sirui Liu, Changfeng Jing, & Songnian Li. (2023). Event Knowledge Graph: A Review Based on Scientometric Analysis. Applied Sciences. 13(22). 12338–12338. 3 indexed citations

10.

Jing, Changfeng, et al.. (2022). SmartEle: Smart Electricity Dashboard for Detecting Consumption Patterns: A Case Study at a University Campus. ISPRS International Journal of Geo-Information. 11(3). 194–194. 4 indexed citations

11.

Jing, Changfeng, et al.. (2022). A hierarchical spatial unit partitioning approach for fine‐grained urban functional region identification. Transactions in GIS. 26(6). 2691–2715. 11 indexed citations

12.

Zhang, Guangqi, et al.. (2022). Short-Term Electrical Load Forecasting Based on Time Augmented Transformer. International Journal of Computational Intelligence Systems. 15(1). 26 indexed citations

13.

Jing, Changfeng, et al.. (2022). A DEEP NEURAL NETWORK FOR SPATIOTEMPORAL PREDICTION OF THEFT CRIMES. SHILAP Revista de lepidopterología. XLVIII-3/W2-2022. 35–41. 3 indexed citations

14.

Jing, Changfeng, et al.. (2020). Fine-Grained Spatiotemporal Dynamics of Inbound Tourists Based on Geotagged Photos: A Case Study in Beijing, China. IEEE Access. 8. 28735–28745. 20 indexed citations

15.

Jing, Changfeng, et al.. (2019). A Lightweight Collaborative GIS Data Editing Approach to Support Urban Planning. Sustainability. 11(16). 4437–4437. 7 indexed citations

16.

Chen, Yunhao, Qiang Chen, & Changfeng Jing. (2019). Multi-resolution segmentation parameters optimization and evaluation for VHR remote sensing image based on mean NSQI and discrepancy measure. Journal of Spatial Science. 66(2). 253–278. 19 indexed citations

17.

Jing, Changfeng, Tiancheng Sun, Qiang Chen, et al.. (2019). A Robust Noise Mitigation Method for the Mobile RFID Location in Built Environment. Sensors. 19(9). 2143–2143. 5 indexed citations

18.

Jing, Changfeng, et al.. (2016). Rule-based rain gauge network design in urban areas aided by spatial kernel density. Water Practice & Technology. 11(1). 166–175. 2 indexed citations

19.

Jing, Changfeng, et al.. (2016). Tag location method integrating GNSS and RFID technology. Journal of Global Positioning Systems. 14(1). 3 indexed citations

20.

Yang, Liu, et al.. (2012). Vehicle-mounted outdoor signboard management system combinging MMS and RFID technologies. 68. 2763–2766. 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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