Jinjie Liu

1.1k citations
79 papers · 734 indexed · 1 hit paper · h-index 15

Jinjie Liu

68 papers receiving 716 citations

Hit Papers

Breaking the Activity‐Stability Trade‐Off of RuO 2 via Me...3220252026102030

Peers

Jinjie Liu
Comparison fields: 5 of 90
  • Computational Mathematics 23
  • Environmental Chemistry 109
  • Electronic, Optical and Magnetic Materials 144
  • Atomic and Molecular Physics, and Optics 145
  • Biomedical Engineering 190
Replace Liang Tang with:
Liang Tang China
Gongming Xin China
Ken‐ichi Sato Japan
Florence Elias France
Marco Lauricella Italy
P. D. Howell United Kingdom
Ye Qiu China
Youn-Seok Choi South Korea
Hao Ruan China
Brad D. Malone United States
Jinjie Liu relative to Liang Tang China Liang Tang's profile →
Citations per field
00.5×10×13.6×
Liang Tang · 1×
Citations per year

Countries citing papers authored by Jinjie Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jinjie Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20251
4 20256
5 20253
6 20250
7 20250
8
Breaking the Activity‐Stability Trade‐Off of RuO 2 via Metallic Ru Bilateral Regulation for Acidic Oxygen Evolution Reactionbreakdown →
202532
9 20244
10 20241
11 202411
12 20247
13 20240
14 202310
15 20232
16 20226
17 202231
18 202013
19 20190
20 201420

About Jinjie Liu

Jinjie Liu is a scholar working on Computational Mathematics, Process Chemistry and Technology and Electrical and Electronic Engineering, having authored 79 papers that have together received 734 indexed citations. Recurring topics across this work include Electromagnetic Simulation and Numerical Methods (12 papers), Electromagnetic Scattering and Analysis (8 papers), Tensor decomposition and applications (5 papers), Catalytic Processes in Materials Science (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), Perovskite Materials and Applications (4 papers), Methane Hydrates and Related Phenomena (4 papers) and Matrix Theory and Algorithms (4 papers). The work is most often cited by research in Computational Mathematics (23 citations), Environmental Chemistry (109 citations) and Electronic, Optical and Magnetic Materials (144 citations). Jinjie Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jerome V. Moloney, W. Hoyer, Yong Zeng, S. W. Koch, Jianyang Wu, Zhisen Zhang, M. Brio, Ke Xu, Dezhong Yin and Qiuyu Zhang. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.

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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