Sicong Pan

499 total citations
14 papers, 329 citations indexed

About

Sicong Pan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Ocean Engineering. According to data from OpenAlex, Sicong Pan has authored 14 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Aerospace Engineering and 3 papers in Ocean Engineering. Recurrent topics in Sicong Pan's work include Robotics and Sensor-Based Localization (8 papers), Robotic Path Planning Algorithms (6 papers) and Advanced Vision and Imaging (4 papers). Sicong Pan is often cited by papers focused on Robotics and Sensor-Based Localization (8 papers), Robotic Path Planning Algorithms (6 papers) and Advanced Vision and Imaging (4 papers). Sicong Pan collaborates with scholars based in Germany, China and United States. Sicong Pan's co-authors include A.C. Kak, Hui Wei, D. Nahamoo, Hao Hu, Maren Bennewitz, Marija Popović, Hao Hu, Cyrill Stachniss, Kris Hauser and Anu Jose and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Robotics and Computer Vision and Image Understanding.

In The Last Decade

Sicong Pan

12 papers receiving 300 citations

Peers

Sicong Pan
Comparison fields: 5 of 41
  • Biomedical Engineering 150
  • Ocean Engineering 97
  • Radiology, Nuclear Medicine and Imaging 86
  • Computer Vision and Pattern Recognition 80
  • Geophysics 60
Replace Ramzi Idoughi with:
Ramzi Idoughi Saudi Arabia
Maria Antonia Maisto Italy
Bernard Duchêne France
Xiaoqian Song China
Bernard D. Steinberg United States
Pedram Mojabi Canada
Haobin Dong China
C. F. Ying China
Peter R. Smith United Kingdom
Dayan Li China
Ramzi Idoughi Saudi Arabia View profile →
Citations per field, relative to Sicong Pan
Sicong Pan · 1×
Citations per year, relative to Sicong Pan
Sicong Pan · 1×

Countries citing papers authored by Sicong Pan

Since Specialization
Citations

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

Fields of papers citing papers by Sicong Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sicong Pan

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 7
5 3
6 2
7 3
8 7
9 20
10 6
11 14
12 4
13 42
14 219

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