Lan Cheng

705 citations
54 papers · 362 · h-index 11

Impact in

Papers in

Lan Cheng

52 papers receiving 354 citations

Peers

Lan Cheng
Comparison fields: 5 of 69
  • Building and Construction 54
  • Control and Systems Engineering 82
  • Aerospace Engineering 77
  • Computer Vision and Pattern Recognition 59
  • Artificial Intelligence 81
Replace Hongyang Zhang with:
Hongyang Zhang China
Amedeo Buonanno Italy
Beiping Hou China
Qinghe Zheng China
Ranyang Li China
Zhiwei Feng China
Zhuoran Zhang China
Kyunghyun Lee South Korea
Lan Cheng relative to Hongyang Zhang China Hongyang Zhang's profile →
Citations per field
00.5×1.5×2.5×
Hongyang Zhang · 1×
Citations per year

Countries citing papers authored by Lan Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Lan Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202252
2 202244
3 201921
4 201921
5 202319
6 202218
7 201318
8 201615
9 202415
10 202112
11 201811
12 20219
13 20168
14 20237
15 20217
16 20147
17 20186
18
Multipath error analysis of carrier Tracking Loop in GPS receiver
20105
19 20234
20 20204

About Lan Cheng

Lan Cheng is a scholar working on Aerospace Engineering, Control and Systems Engineering, Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 54 papers that have together received 362 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (7 papers), Robotics and Sensor-Based Localization (6 papers), Fault Detection and Control Systems (6 papers), GNSS positioning and interference (6 papers), Advanced Computational Techniques and Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Indoor and Outdoor Localization Technologies (5 papers) and Advanced Neural Network Applications (4 papers). The work is most often cited by research in Building and Construction (54 citations), Control and Systems Engineering (82 citations), Aerospace Engineering (77 citations), Computer Vision and Pattern Recognition (59 citations) and Artificial Intelligence (81 citations). Lan Cheng has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Mifeng Ren, Gaowei Yan, Zhile Yang, Yuanjun Guo, Minggang Gan, Jie Chen, Xinying Xu, Jing Qin, Xiangfei Liu and Huisi Wu. Their work appears in journals such as IEEE Access, Energies, ISA Transactions, Energy and Medical Image Analysis.

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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