Xiaojie Ren

2.4k citations
95 papers · 1.9k · 1 hit paper · h-index 28

Impact in

Papers in

Xiaojie Ren

89 papers receiving 1.8k citations

Hit Papers

Enhancing prediction of electron affinity and ionization energy in liquid organic electrolytes for lithium-ion batteries using machine learning 2024 · 86 citations
860+1Years since publication255075

Peers

Xiaojie Ren
Comparison fields: 5 of 132
  • Biochemistry 329
  • Spectroscopy 384
  • Aquatic Science 101
  • Materials Chemistry 442
  • Pharmacology 161
Replace Li Zhou with:
Li Zhou China
Xiao‐Feng Guo China
Tetsuya Tosa Japan
Yuanqing Ding United States
Tianming Yao China
Li Wu China
Yu‐Jing Lu China
Jike Lu China
Fabio Tanfani Italy
Jing Yang China
Xiaojie Ren relative to Li Zhou China Li Zhou's profile →
Citations per field
00.5×2.9×
Li Zhou · 1×
Citations per year

Countries citing papers authored by Xiaojie Ren

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojie Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018115
2 2017104
3 2016103
4
Enhancing prediction of electron affinity and ionization energy in liquid organic electrolytes for lithium-ion batteries using machine learning
Hit paper breakdown →
202486
5 201986
6 201868
7 201758
8 202056
9 201852
10 202151
11 201744
12 201942
13 201942
14 202042
15 202041
16 202041
17 201238
18 201837
19 202133
20 201932

About Xiaojie Ren

Xiaojie Ren is a scholar working on Materials Chemistry, Molecular Biology, Spectroscopy, Biomedical Engineering and Electrical and Electronic Engineering, having authored 95 papers that have together received 1.9k indexed citations. Recurring topics across this work include Luminescence and Fluorescent Materials (17 papers), Molecular Sensors and Ion Detection (16 papers), Nanoplatforms for cancer theranostics (8 papers), Sulfur Compounds in Biology (8 papers), Algal biology and biofuel production (8 papers), Perovskite Materials and Applications (7 papers), Organic Electronics and Photovoltaics (7 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). The work is most often cited by research in Biochemistry (329 citations), Spectroscopy (384 citations), Aquatic Science (101 citations), Materials Chemistry (442 citations) and Pharmacology (161 citations). Xiaojie Ren has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiangzhi Song, Yufeng Wang, Jinxia Jia, Lei Yang, Yun Zhang, Long He, Yani Geng, Yuanan Su, Jiangjuan Shao and Xingjiang Liu. Their work appears in journals such as Analytical Chemistry, International Journal of Biological Macromolecules, Dyes and Pigments, The Journal of Organic Chemistry and LWT.

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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