Ruichan Qiu

676 total citations · 1 hit paper
6 papers, 558 citations indexed

About

Ruichan Qiu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Infectious Diseases. According to data from OpenAlex, Ruichan Qiu has authored 6 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 6 papers in Materials Chemistry and 0 papers in Infectious Diseases. Recurrent topics in Ruichan Qiu's work include Quantum Dots Synthesis And Properties (6 papers), Chalcogenide Semiconductor Thin Films (6 papers) and Copper-based nanomaterials and applications (5 papers). Ruichan Qiu is often cited by papers focused on Quantum Dots Synthesis And Properties (6 papers), Chalcogenide Semiconductor Thin Films (6 papers) and Copper-based nanomaterials and applications (5 papers). Ruichan Qiu collaborates with scholars based in China, United States and South Korea. Ruichan Qiu's co-authors include Chuanyou Niu, Wei Huang, Hao Xin, Yuancai Gong, Weibo Yan, Qiang Zhu, Yage Zhou, Yifan Zhang, Rajiv Giridharagopal and Shaotang Yu and has published in prestigious journals such as Energy & Environmental Science, Advanced Functional Materials and Journal of Materials Chemistry A.

In The Last Decade

Ruichan Qiu

5 papers receiving 552 citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Identifying the origin of the V_oc deficit of kesterite solar cells from the two grain growth mechanisms induced by Sn²⁺ and Sn⁴⁺ precursors in DMSO solution

2021 227 citations Yuancai Gong, Yifan Zhang et al. Energy & Environmental Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ruichan Qiu China	4	554	531	109	6	5	6	558
Chuanyou Niu China	4	554 1.0×	531 1.0×	109 1.0×	6 1.0×	5 1.0×	6	558
Jun‐Hyoung Sim South Korea	8	570 1.0×	551 1.0×	128 1.2×	5 0.8×	7 1.4×	10	576
Shaotang Yu China	7	445 0.8×	428 0.8×	67 0.6×	5 0.8×	5 1.0×	12	449
Shoushuai Gao China	14	557 1.0×	543 1.0×	123 1.1×	11 1.8×	12 2.4×	23	578
Guozhong Sun China	12	472 0.9×	453 0.9×	93 0.9×	12 2.0×	6 1.2×	25	491
Temujin Enkhbat South Korea	11	434 0.8×	411 0.8×	95 0.9×	8 1.3×	6 1.2×	18	449
Chunxu Xiang China	6	431 0.8×	397 0.7×	95 0.9×	11 1.8×	7 1.4×	15	441
Xunyan Lyu China	13	331 0.6×	313 0.6×	53 0.5×	6 1.0×	5 1.0×	22	353
Quanzhen Sun China	12	371 0.7×	328 0.6×	87 0.8×	6 1.0×	6 1.2×	21	375
Christopher Frisk Sweden	9	466 0.8×	418 0.8×	105 1.0×	13 2.2×	4 0.8×	17	478

Countries citing papers authored by Ruichan Qiu

Since Specialization

Citations

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

Fields of papers citing papers by Ruichan Qiu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruichan Qiu

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

All Works

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6 of 6 papers shown

1.

Gong, Yuancai, Yifan Zhang, Qiang Zhu, et al.. (2021). Identify the Origin of the V_oc Deficit of Kestertie Solar Cells from the Two Reaction Paths Induced by Sn²⁺ and Sn⁴⁺ Precursors in DMSO Solution. 1995–1997.

2.

Gong, Yuancai, Yifan Zhang, Qiang Zhu, et al.. (2021). Identifying the origin of the V_oc deficit of kesterite solar cells from the two grain growth mechanisms induced by Sn²⁺ and Sn⁴⁺ precursors in DMSO solution. Energy & Environmental Science. 14(4). 2369–2380. 227 indexed citations breakdown →

3.

Zhu, Qiang, Yuancai Gong, Yage Zhou, et al.. (2021). DMSO Solution Processed Cu₂ZnSnS₄ Solar Cell with Open Circuit Voltage Reached 0.731 V. 4. 2467–2469. 1 indexed citations

4.

Gong, Yuancai, Ruichan Qiu, Chuanyou Niu, et al.. (2021). Ag Incorporation with Controlled Grain Growth Enables 12.5% Efficient Kesterite Solar Cell with Open Circuit Voltage Reached 64.2% Shockley–Queisser Limit. Advanced Functional Materials. 31(24). 175 indexed citations

5.

Niu, Chuanyou, Yuancai Gong, Ruichan Qiu, et al.. (2021). 11.5% efficient Cu₂ZnSn(S,Se)₄ solar cell fabricated from DMF molecular solution. Journal of Materials Chemistry A. 9(22). 12981–12987. 45 indexed citations

6.

Gong, Yuancai, Yifan Zhang, Erin Jedlicka, et al.. (2020). Sn4+ precursor enables 12.4% efficient kesterite solar cell from DMSO solution with open circuit voltage deficit below 0.30 V. Science China Materials. 64(1). 52–60. 110 indexed citations

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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