Shenman Zhang

840 total citations · 1 hit paper
8 papers, 571 citations indexed

About

Shenman Zhang is a scholar working on Geology, Environmental Engineering and Aerospace Engineering. According to data from OpenAlex, Shenman Zhang has authored 8 papers receiving a total of 571 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Geology, 6 papers in Environmental Engineering and 5 papers in Aerospace Engineering. Recurrent topics in Shenman Zhang's work include 3D Surveying and Cultural Heritage (7 papers), Remote Sensing and LiDAR Applications (6 papers) and Robotics and Sensor-Based Localization (5 papers). Shenman Zhang is often cited by papers focused on 3D Surveying and Cultural Heritage (7 papers), Remote Sensing and LiDAR Applications (6 papers) and Robotics and Sensor-Based Localization (5 papers). Shenman Zhang collaborates with scholars based in China, United States and Hong Kong. Shenman Zhang's co-authors include Jie Shan, Yaolin Hou, Lei Wang, Yuchun Huang, Pengjie Tao, Lei Wang, Rui Cao, Sen Jia, Zhichao Zhang and Shunping Ji and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Remote Sensing.

In The Last Decade

Shenman Zhang

7 papers receiving 557 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Graph Attention Convolution for Point Cloud Semantic Segmentation

2019 519 citations Lei Wang, Yuchun Huang et al. profile →

Peers

Shenman Zhang

CM

GEOLO

EE

CVPR

CGCD

Mutian Xu China

Chaoda Zheng China

Minh-Khoi Tran Singapore

Truc Le United States

Wentao Yuan United States

Ji Hou China

Xianzhi Li China

Ryan Razani Canada

Lyne P. Tchapmi United States

Minhyuk Sung South Korea

Mutian Xu China

Shenman Zhang

332 ×0.9

CM

252 ×0.8

GEOLO

160 ×0.6

EE

190 ×1.0

CVPR

125 ×1.3

CGCD

Citations per year, relative to Shenman Zhang Shenman Zhang (= 1×) peers Mutian Xu

Countries citing papers authored by Shenman Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Shenman Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shenman Zhang

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Deng, Zhigang, Yuanlong Ge, Kai Sun, et al.. (2025). SPL-PlaneTR: Lightweight and Generalizable Indoor Plane Segmentation Based on Prompt Learning. Sensors. 25(9). 2797–2797.

2.

Li, Qing, Rui Cao, Jiasong Zhu, et al.. (2022). Learn then match: A fast coarse-to-fine depth image-based indoor localization framework for dark environments via deep learning and keypoint-based geometry alignment. ISPRS Journal of Photogrammetry and Remote Sensing. 195. 169–177. 17 indexed citations

3.

Wang, Lei, et al.. (2020). Structure-Aware Convolution for 3D Point Cloud Classification and Segmentation. Remote Sensing. 12(4). 634–634. 10 indexed citations

4.

Shan, Jie, et al.. (2020). Toward a unified theoretical framework for photogrammetry. Geo-spatial Information Science. 23(1). 75–86. 13 indexed citations

5.

Wang, Lei, Yuchun Huang, Yaolin Hou, Shenman Zhang, & Jie Shan. (2019). Graph Attention Convolution for Point Cloud Semantic Segmentation. 10288–10297. 519 indexed citations breakdown →

6.

Zhang, Shenman, Pengjie Tao, Lei Wang, Yaolin Hou, & Zhi‐Hua Hu. (2019). Improving Details of Building Façades in Open LiDAR Data Using Ground Images. Remote Sensing. 11(4). 420–420. 4 indexed citations

7.

Zhang, Shenman, et al.. (2016). INTEGRATING SMARTPHONE IMAGES AND AIRBORNE LIDAR DATA FOR COMPLETE URBAN BUILDING MODELLING. The international archives of the photogrammetry, remote sensing and spatial information sciences. XLI-B5. 741–747. 3 indexed citations

8.

Zhang, Shenman, et al.. (2016). INTEGRATING SMARTPHONE IMAGES AND AIRBORNE LIDAR DATA FOR COMPLETE URBAN BUILDING MODELLING. SHILAP Revista de lepidopterología. XLI-B5. 741–747. 5 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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