Shishan Yang

616 citations
16 papers · 331 · h-index 8

Impact in

    • Target Tracking and Data Fusion in Sensor Networks
    • Gaussian Processes and Bayesian Inference
    • Infrared Target Detection Methodologies
    • Robotics and Sensor-Based Localization

Papers in

Shishan Yang

15 papers receiving 318 citations

Peers

Shishan Yang
Comparison fields: 5 of 38
  • Artificial Intelligence 226
  • Aerospace Engineering 133
  • Instrumentation 16
  • Computer Vision and Pattern Recognition 87
  • Oceanography 21
Replace Tzvetan Semerdjiev with:
Tzvetan Semerdjiev Bulgaria
Pathipati Srihari India
Bethi Pardhasaradhi India
Monika Wieneke Germany
Jean-Charles Noyer France
Seyed Fakoorian United States
Xuanbin Wang China
S.M. Tonissen Australia
Folker Hoffmann Germany
Houpu Li China
Shishan Yang relative to Tzvetan Semerdjiev Bulgaria Tzvetan Semerdjiev's profile →
Citations per field
00.5×6.9×
Tzvetan Semerdjiev · 1×
Citations per year

Countries citing papers authored by Shishan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shishan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Shishan Yang, 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 Shishan Yang Line = papers co-authored together Shishan Yang links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201995
2 201683
3 201758
4 201822
5 202018
6 201610
7 201910
8 20207
9 20216
10 20175
11 20245
12 20164
13 20184
14 19923
15 20241
16 20210

About Shishan Yang

Shishan Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Electrical and Electronic Engineering and Instrumentation, having authored 16 papers that have together received 331 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (10 papers), Video Surveillance and Tracking Methods (6 papers), Anomaly Detection Techniques and Applications (3 papers), Indoor and Outdoor Localization Technologies (2 papers), Human Pose and Action Recognition (2 papers), Advanced Optical Sensing Technologies (2 papers), Advanced Measurement and Detection Methods (2 papers) and Robotics and Sensor-Based Localization (2 papers). The work is most often cited by research in Artificial Intelligence (226 citations), Aerospace Engineering (133 citations), Instrumentation (16 citations), Computer Vision and Pattern Recognition (87 citations) and Oceanography (21 citations). Shishan Yang has collaborated with scholars based in Germany, China and Sweden. Frequent co-authors include Marcus Baum, Karl Granström, Stefan Breuers, Bastian Leibe, Markus Mathias, Zhiguo Shi, Xianghui Cao, Chaoqun Yang, Uwe D. Hanebeck and Jinwu Xu. Their work appears in journals such as IEEE Transactions on Industrial Informatics, Signal Processing, IEEE Transactions on Signal Processing, IFAC Proceedings Volumes and GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen).

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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