Hongjun Liu

695 total citations · 1 hit paper
40 papers, 522 citations indexed

About

Hongjun Liu is a scholar working on Mechanical Engineering, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Hongjun Liu has authored 40 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Mechanical Engineering, 8 papers in Artificial Intelligence and 7 papers in Automotive Engineering. Recurrent topics in Hongjun Liu's work include Additive Manufacturing and 3D Printing Technologies (6 papers), Energy, Environment, Economic Growth (3 papers) and Injection Molding Process and Properties (3 papers). Hongjun Liu is often cited by papers focused on Additive Manufacturing and 3D Printing Technologies (6 papers), Energy, Environment, Economic Growth (3 papers) and Injection Molding Process and Properties (3 papers). Hongjun Liu collaborates with scholars based in China, Philippines and United States. Hongjun Liu's co-authors include Fen Ran, Yuting Zuo, Xiaosheng Tang, Zhigang Zang, Yangxian Liu, Jianfeng Pan, Baowei Fan, Wei Chen, Peter Otchere and Ming C. Leu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Materials Today.

In The Last Decade

Hongjun Liu

36 papers receiving 506 citations

Hit Papers

Fast-charging cathode materials for lithium & sodium ion ... 2023 2026 2024 2025 2023 50 100 150

Peers

Hongjun Liu
Comparison fields: 5 of 94
  • Electrical and Electronic Engineering 213
  • Automotive Engineering 132
  • Biomedical Engineering 95
  • Materials Chemistry 90
  • Fluid Flow and Transfer Processes 73
Replace Ahmet Yılancı with:
Ahmet Yılancı Türkiye
Yuelin Li China
Weiping Gong China
Wenyi Wang China
Yingjun Guo China
Muhammad Usman Pakistan
Ertuğrul Baltacıoğlu Türkiye
Jiyoung Moon United States
Xinjie Zhang China
Shahid Imran Pakistan
Ahmet Yılancı Türkiye View profile →
Citations per field, relative to Hongjun Liu
Hongjun Liu · 1×
Citations per year, relative to Hongjun Liu
Hongjun Liu · 1×

Countries citing papers authored by Hongjun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hongjun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongjun Liu

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 0
5 1
6 0
7
Fast-charging cathode materials for lithium & sodium ion batteries breakdown →
173
8 2
9 3
10 2
11 10
12 19
13 54
14 6
15 1
16 68
17 49
18 2
19 1
20
Artificial neural network model for prediction of seismic liquefaction of sand soil
1

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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