Sicong Pan

506 citations
14 papers · 372 · h-index 7

Impact in

Papers in

Sicong Pan

13 papers receiving 339 citations

Peers

Sicong Pan
Comparison fields: 5 of 47
  • Ocean Engineering 108
  • Geophysics 71
  • Radiation 44
  • Radiology, Nuclear Medicine and Imaging 98
  • Computer Vision and Pattern Recognition 86
Replace Michael Iliadis with:
Michael Iliadis United States
Ramzi Idoughi Saudi Arabia
Maria Antonia Maisto Italy
Clifford J. Nolan Ireland
Tongyao Pang Singapore
Bernard Duchêne France
Thomas Benson United States
Bernard D. Steinberg United States
Dayan Li China
Élie Bretin France
Sicong Pan relative to Michael Iliadis United States Michael Iliadis's profile →
Citations per field
00.5×3.3×
Michael Iliadis · 1×
Citations per year

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-authors

The 12 scholars most cited alongside Sicong Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sicong Pan Line = papers co-authored together Sicong Pan links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1983245
2 198450
3 202223
4 202115
5 20247
6 20237
7 20227
8 20215
9 20244
10 20243
11 20253
12 20242
13 20251
14 20250

About Sicong Pan

Sicong Pan is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Ocean Engineering, Control and Systems Engineering and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 372 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (8 papers), Robotic Path Planning Algorithms (6 papers), Advanced Vision and Imaging (4 papers), Medical Imaging Techniques and Applications (2 papers), Robot Manipulation and Learning (2 papers), Geophysical Methods and Applications (2 papers), Smart Agriculture and AI (2 papers) and Soft Robotics and Applications (1 paper). The work is most often cited by research in Ocean Engineering (108 citations), Geophysics (71 citations), Radiation (44 citations), Radiology, Nuclear Medicine and Imaging (98 citations) and Computer Vision and Pattern Recognition (86 citations). Sicong Pan has collaborated with scholars based in Germany, China and United States. Frequent co-authors include A.C. Kak, Hui Wei, D. Nahamoo, Hao Hu, Maren Bennewitz, Hao Hu, Marija Popović, Cyrill Stachniss, Kris Hauser and Sebastian Houben. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Robotics, Computer Vision and Image Understanding, Fraunhofer-Publica (Fraunhofer-Gesellschaft) and IEEE Transactions on Acoustics Speech and Signal Processing.

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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