Ji-Gong Li

416 total citations
31 papers, 300 citations indexed

About

Ji-Gong Li is a scholar working on Insect Science, Biomedical Engineering and Cellular and Molecular Neuroscience. According to data from OpenAlex, Ji-Gong Li has authored 31 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Insect Science, 19 papers in Biomedical Engineering and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Ji-Gong Li's work include Insect Pheromone Research and Control (23 papers), Advanced Chemical Sensor Technologies (19 papers) and Neurobiology and Insect Physiology Research (7 papers). Ji-Gong Li is often cited by papers focused on Insect Pheromone Research and Control (23 papers), Advanced Chemical Sensor Technologies (19 papers) and Neurobiology and Insect Physiology Research (7 papers). Ji-Gong Li collaborates with scholars based in China, United Kingdom and Romania. Ji-Gong Li's co-authors include Qing‐Hao Meng, Ming Zeng, Yang Wang, Jia Liu, Fei Li, Fei Li, Minglu Zhang, Yang Li, Dorin Popescu and Biao Sun and has published in prestigious journals such as Sensors, Journal of Applied Polymer Science and Autonomous Robots.

In The Last Decade

Ji-Gong Li

26 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ji-Gong Li China 8 246 207 81 22 21 31 300
Gideon Kowadlo Australia 6 297 1.2× 235 1.1× 115 1.4× 35 1.6× 15 0.7× 12 344
A.T. Hayes United States 6 379 1.5× 325 1.6× 145 1.8× 49 2.2× 24 1.1× 6 600
Nicolas‐Alexander Tatlas Greece 10 53 0.2× 34 0.2× 7 0.1× 5 0.2× 36 284
George Pallis Greece 6 153 0.6× 89 0.4× 2 0.0× 5 0.2× 7 0.3× 14 331
Boliao Li China 13 123 0.5× 12 0.1× 101 1.2× 3 0.1× 10 0.5× 29 340
Ramón Gallardo–Caballero Spain 10 50 0.2× 141 0.7× 1 0.0× 18 0.8× 7 0.3× 26 318
Antonio García‐Manso Spain 9 50 0.2× 144 0.7× 1 0.0× 18 0.8× 4 0.2× 22 295
A. P. Gupta United States 13 78 0.3× 29 0.1× 69 0.9× 1 0.0× 101 4.8× 32 439
Qi Xue China 12 45 0.2× 26 0.1× 9 0.1× 3 0.1× 5 0.2× 38 327
Salah Karout United Kingdom 9 11 0.0× 41 0.2× 26 0.3× 7 0.3× 2 0.1× 15 211

Countries citing papers authored by Ji-Gong Li

Since Specialization
Citations

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

Fields of papers citing papers by Ji-Gong Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji-Gong Li. 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 Ji-Gong Li. The network helps show where Ji-Gong Li may publish in the future.

Co-authorship network of co-authors of Ji-Gong Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ji-Gong Li. A scholar is included among the top collaborators of Ji-Gong Li 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 Ji-Gong Li. Ji-Gong Li 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
3.
Li, Ji-Gong, et al.. (2023). Smoke/Fire Detection with an Improved YOLOX Model. 7866–7871. 1 indexed citations
7.
Li, Ji-Gong, et al.. (2015). Odor sources mapping with D-S inference in time variant airflow environments via a mobile robot. 6. 545–550. 5 indexed citations
9.
Yang, Jia, Lin Zhu, Gang Qin, & Ji-Gong Li. (2015). Comparison of Different Approaches for Analyzing Converging Flows for Polymer Fluids. Macromolecular Materials and Engineering. 300(7). 721–729. 2 indexed citations
10.
Li, Ji-Gong, et al.. (2014). Odor-source searching using a mobile robot in time-variant airflow environments with obstacles. 28. 8559–8564. 7 indexed citations
11.
Yang, Jia, et al.. (2014). A different extensional viscosity prediction based on entry pressure drop. Journal of Applied Polymer Science. 131(15). 4 indexed citations
12.
Li, Ji-Gong, et al.. (2013). Estimating a continuous odor-patch path using discrete measurements for odor source localization. Chinese Control Conference. 6051–6056. 6 indexed citations
13.
Li, Ji-Gong, Qing‐Hao Meng, Yang Wang, & Ming Zeng. (2011). Odor source localization using a mobile robot in outdoor airflow environments with a particle filter algorithm. Autonomous Robots. 30(3). 281–292. 158 indexed citations
14.
Li, Ji-Gong. (2009). A Novel Visual Search Method for Gas Leakage Source Based on Mobile Robot. Robot. 1 indexed citations
15.
Li, Ji-Gong, et al.. (2009). Tracing Odor Plume by Robot in Time-variant Flow-field Environments. ACTA AUTOMATICA SINICA. 35(10). 1327–1333. 8 indexed citations
16.
Li, Fei, Qing‐Hao Meng, Ji-Gong Li, Shuang Bai, & Ming Zeng. (2009). Multi-robot Based Chemical Plume Tracing with Virtual Odor-Source-Probability Sensor. 3228. 246–250. 2 indexed citations
17.
Li, Ji-Gong, Qing‐Hao Meng, & Ming Zeng. (2009). An estimation-based plume tracing method in time-variant airflow-field via mobile robot. 45. 2249–2254. 2 indexed citations
18.
Li, Ji-Gong. (2008). A Gas/Odor Source Localization Strategy for Mobile Robot Based on Animal Predatory Behavior. Robot. 4 indexed citations
19.
Li, Ji-Gong, Qing‐Hao Meng, Fei Li, & Minglu Zhang. (2008). Mobile Robot based Odor Path Estimation via Dynamic Window Approach. 1173–1178. 11 indexed citations
20.
Li, Ji-Gong, et al.. (2006). A Novel Path Planning Method Based on Certainty Grids Map For Mobile Robot. 1585. 185–188. 6 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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