Hao Gu

691 citations
58 papers · 492 · h-index 13

Impact in

Papers in

Hao Gu

51 papers receiving 482 citations

Peers

Hao Gu
Comparison fields: 5 of 72
  • Automotive Engineering 91
  • Ceramics and Composites 39
  • Industrial and Manufacturing Engineering 40
  • Computer Vision and Pattern Recognition 74
  • Mechanical Engineering 132
Replace S. Raghuraman with:
S. Raghuraman India
Xinghua Li China
Sivakumar Sivanesan Malaysia
Jonas de Carvalho Brazil
Anabel Renteria United States
Kevin Potter United Kingdom
Hyun Soo Kim South Korea
Ankita Awasthi India
Swastik Pradhan India
Hao Gu relative to S. Raghuraman India S. Raghuraman's profile →
Citations per field
00.5×5.3×
S. Raghuraman · 1×
Citations per year

Countries citing papers authored by Hao Gu

Since Specialization
Citations

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

Fields of papers citing papers by Hao Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013113
2 201729
3 201726
4 202224
5 202024
6 201923
7 201719
8 201919
9 202119
10 202216
11 201713
12 201713
13 202212
14 202011
15 201710
16 20259
17 20178
18 20227
19 20167
20 20107

About Hao Gu

Hao Gu is a scholar working on Control and Systems Engineering, Biomedical Engineering, Mechanical Engineering, Electrical and Electronic Engineering and Automotive Engineering, having authored 58 papers that have together received 492 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (8 papers), Robotic Locomotion and Control (6 papers), Additive Manufacturing and 3D Printing Technologies (6 papers), Advanced Antenna and Metasurface Technologies (5 papers), Robotic Path Planning Algorithms (4 papers), Manufacturing Process and Optimization (4 papers), Metamaterials and Metasurfaces Applications (4 papers) and Advanced ceramic materials synthesis (4 papers). The work is most often cited by research in Automotive Engineering (91 citations), Ceramics and Composites (39 citations), Industrial and Manufacturing Engineering (40 citations), Computer Vision and Pattern Recognition (74 citations) and Mechanical Engineering (132 citations). Hao Gu has collaborated with scholars based in China, Italy and United States. Frequent co-authors include Wenjun Hu, Qifan Pu, Z. Bashir, Lanti Yang, Cheng Li, Marco Ceccarelli, Huashan Liu, Hanqin Liang, Yu‐Ping Zeng and Yongfeng Xia. Their work appears in journals such as Robotica, Polymers, Additive manufacturing, Ceramics International and Dalton Transactions.

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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