Siming Liu

1.5k citations
102 papers · 1.1k · h-index 21

Impact in

Papers in

Siming Liu

96 papers receiving 1.1k citations

Peers

Siming Liu
Comparison fields: 5 of 89
  • Electrical and Electronic Engineering 676
  • Process Chemistry and Technology 20
  • Computer Networks and Communications 145
  • Artificial Intelligence 142
  • Geochemistry and Petrology 19
Replace Liangliang Wang with:
Liangliang Wang China
Zhe Yang China
Ziming Liu China
Hyowon Kim South Korea
Zhuo Chen China
Jun Qin China
Md. Mottahir Alam Saudi Arabia
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Citations per field
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Citations per year

Countries citing papers authored by Siming Liu

Since Specialization
Citations

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

Fields of papers citing papers by Siming Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201598
2 201755
3 201851
4 201839
5 201435
6 202034
7 202034
8 202033
9 202233
10 201132
11 202330
12 201830
13 202229
14 201928
15 201926
16 201724
17 201824
18 201224
19 201823
20 201720

About Siming Liu

Siming Liu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Mechanical Engineering, Computer Vision and Pattern Recognition and Civil and Structural Engineering, having authored 102 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Photonic Communication Systems (26 papers), Optical Network Technologies (25 papers), Artificial Intelligence in Games (18 papers), Reinforcement Learning in Robotics (17 papers), Digital Games and Media (8 papers), Structural Integrity and Reliability Analysis (7 papers), Photonic and Optical Devices (6 papers) and Optical Wireless Communication Technologies (6 papers). The work is most often cited by research in Electrical and Electronic Engineering (676 citations), Process Chemistry and Technology (20 citations), Computer Networks and Communications (145 citations), Artificial Intelligence (142 citations) and Geochemistry and Petrology (19 citations). Siming Liu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Gee‐Kung Chang, Huiping Tian, Sushil J. Louis, Peng‐Chun Peng, Mu Xu, Shuyi Shen, Feng Lü, Qi Zhou, Zhenggan Zhou and Anthony J. Croxford. Their work appears in journals such as IEEE Photonics Technology Letters, Journal of Lightwave Technology, Optics Express, IEEE Access and IEEE Transactions on Computational Intelligence and AI in Games.

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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