Junyi Geng

656 citations
25 papers · 376 · h-index 9

Impact in

Papers in

Junyi Geng

22 papers receiving 366 citations

Peers

Junyi Geng
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 210
  • Control and Systems Engineering 115
  • Media Technology 42
  • Aerospace Engineering 99
  • Computer Networks and Communications 53
Replace Ruyu Liu with:
Ruyu Liu China
Javier V. Gómez Spain
Leena Vachhani India
K. S. Venkatesh India
Chia-Wen Kuo Taiwan
Weizhi Lu China
Hamidreza Kasaei Netherlands
J. Bao China
Junyi Geng relative to Ruyu Liu China Ruyu Liu's profile →
Citations per field
00.5×1.5×2.2×
Ruyu Liu · 1×
Citations per year

Countries citing papers authored by Junyi Geng

Since Specialization
Citations

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

Fields of papers citing papers by Junyi Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junyi Geng, 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 Junyi Geng Line = papers co-authored together Junyi Geng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020131
2 202058
3 202340
4 202234
5 202224
6 201916
7 202011
8 202310
9 202310
10 20228
11 20246
12 20246
13 20204
14 20204
15 20253
16 20223
17 20212
18 20232
19 20231
20 20231

About Junyi Geng

Junyi Geng is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence and Mechanical Engineering, having authored 25 papers that have together received 376 indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (8 papers), Adaptive Control of Nonlinear Systems (6 papers), Robotics and Sensor-Based Localization (6 papers), Aerospace and Aviation Technology (3 papers), Robot Manipulation and Learning (3 papers), Teleoperation and Haptic Systems (2 papers), Control and Dynamics of Mobile Robots (2 papers) and Advanced Vision and Imaging (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (210 citations), Control and Systems Engineering (115 citations), Media Technology (42 citations), Aerospace Engineering (99 citations) and Computer Networks and Communications (53 citations). Junyi Geng has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jack W. Langelaan, Yuelong Li, Vishal Monga, Yonina C. Eldar, Mohammad Tofighi, Sebastian Scherer, Dieter Fox, Xinke Deng, Xiang Yu and Timothy Bretl. Their work appears in journals such as IEEE Robotics and Automation Letters, Journal of Guidance Control and Dynamics, IEEE Transactions on Computational Imaging, Journal of Aerospace Information Systems and AIAA Scitech 2019 Forum.

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