Xu Yi‐chong

2.2k total citations · 1 hit paper
56 papers, 906 citations indexed

About

Xu Yi‐chong is a scholar working on Political Science and International Relations, Artificial Intelligence and Development. According to data from OpenAlex, Xu Yi‐chong has authored 56 papers receiving a total of 906 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Political Science and International Relations, 11 papers in Artificial Intelligence and 11 papers in Development. Recurrent topics in Xu Yi‐chong's work include Topic Modeling (11 papers), International Development and Aid (11 papers) and Natural Language Processing Techniques (7 papers). Xu Yi‐chong is often cited by papers focused on Topic Modeling (11 papers), International Development and Aid (11 papers) and Natural Language Processing Techniques (7 papers). Xu Yi‐chong collaborates with scholars based in Australia, United States and United Kingdom. Xu Yi‐chong's co-authors include Patrick Weller, Chenguang Zhu, Shuohang Wang, Yang Liu, Dan Iter, Ruochen Xu, Xi Chen, Qiang Wang, Jack Corbett and Ziyi Yang and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Energy Policy and Energy.

In The Last Decade

Xu Yi‐chong

51 papers receiving 831 citations

Hit 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.

G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment

2023 220 citations Yang Liu, Dan Iter et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xu Yi‐chong Australia	18	217	178	168	144	102	56	906
Md Altab Hossin China	19	160 0.7×	68 0.4×	178 1.1×	17 0.1×	133 1.3×	90	1.0k
Ross Beveridge United Kingdom	16	74 0.3×	254 1.4×	228 1.4×	13 0.1×	59 0.6×	44	896
Alexander Sokolov Russia	13	30 0.1×	36 0.2×	71 0.4×	70 0.5×	83 0.8×	25	488
Longfeng Zhao China	19	40 0.2×	36 0.2×	46 0.3×	23 0.2×	183 1.8×	55	1.5k
Rafael Popper France	10	54 0.2×	86 0.5×	128 0.8×	25 0.2×	137 1.3×	41	661
Yutao Sun China	19	75 0.3×	94 0.5×	60 0.4×	15 0.1×	308 3.0×	52	942
Woraphon Yamaka Thailand	15	132 0.6×	22 0.1×	79 0.5×	10 0.1×	47 0.5×	113	811
Blanca L. Delgado‐Márquez Spain	18	47 0.2×	76 0.4×	95 0.6×	11 0.1×	377 3.7×	42	861
Steven P. Schnaars United States	16	69 0.3×	55 0.3×	125 0.7×	9 0.1×	308 3.0×	35	1.2k
Zdzisława Dacko-Pikiewicz Poland	15	45 0.2×	31 0.2×	76 0.5×	4 0.0×	166 1.6×	33	820

Countries citing papers authored by Xu Yi‐chong

Since Specialization

Citations

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

Fields of papers citing papers by Xu Yi‐chong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xu Yi‐chong. 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 Xu Yi‐chong. The network helps show where Xu Yi‐chong may publish in the future.

Co-authorship network of co-authors of Xu Yi‐chong

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Yang, Ziyi, Mahmoud Khademi, Xu Yi‐chong, et al.. (2024). i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data. 1615–1627. 2 indexed citations

2.

Xu, Canwen, et al.. (2024). Small Models are Valuable Plug-ins for Large Language Models. 283–294. 18 indexed citations

3.

Wang, K., Yunxia Wang, Xiaomei Wu, et al.. (2024). Taprenepag restores maternal–fetal interface homeostasis for the treatment of neurodevelopmental disorders. Journal of Neuroinflammation. 21(1). 307–307.

4.

Jiang, Meng, et al.. (2024). Knowledge-augmented Methods for Natural Language Processing. SpringerBriefs in computer science. 2 indexed citations

5.

Iter, Dan, Reid Pryzant, Ruochen Xu, et al.. (2023). In-Context Demonstration Selection with Cross Entropy Difference. 1150–1162. 1 indexed citations

6.

Zhang, Zhihan, Wenhao Yu, Xu Yi‐chong, et al.. (2023). Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models. 5 indexed citations

7.

Yi‐chong, Xu, Ruochen Xu, Dan Iter, et al.. (2023). InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT. 13879–13892. 1 indexed citations

8.

Xie, Yujia, Dongdong Chen, Xu Yi‐chong, et al.. (2023). Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles. 2634–2645. 4 indexed citations

9.

Wang, Shuohang, et al.. (2022). Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 3170–3179. 2 indexed citations

10.

Zhang, Zhuosheng, Xu Yi‐chong, Yuwei Fang, et al.. (2022). Task Compass: Scaling Multi-task Pre-training with Task Prefix. 5671–5685. 5 indexed citations

11.

Hu, Ziniu, Xu Yi‐chong, Wenhao Yu, et al.. (2022). Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. 9562–9581. 20 indexed citations

12.

Hil, Richard, et al.. (2020). Reflections on Forty Years of Failed Australian Climate Policy. Social alternatives. 39(2). 4 indexed citations

13.

Corbett, Jack, Xu Yi‐chong, & Patrick Weller. (2018). Small states and the ‘throughput’ legitimacy of international organizations. Cambridge Review of International Affairs. 31(2). 183–202. 5 indexed citations

14.

Yi‐chong, Xu. (2017). Leaders in International Organisations. Griffith Research Online (Griffith University, Queensland, Australia). 36(3). 43–49.

15.

Yi‐chong, Xu. (2017). Sinews of Power: Politics of the State Grid Corporation of China. RePEc: Research Papers in Economics. 21 indexed citations

16.

Yi‐chong, Xu. (2017). China’s Giant State-Owned Enterprises as Policy Advocates: The Case of the State Grid Corporation of China. The China Journal. 79. 21–39. 15 indexed citations

17.

Yi‐chong, Xu. (2012). Nuclear Power in China: How It Really Works. Griffith Research Online (Griffith University, Queensland, Australia). 7(1). 32–43. 48 indexed citations

18.

Yi‐chong, Xu. (2012). Sovereign wealth funds: the good, the bad or the ugly?. Journal of the Asia Pacific Economy. 17(2). 193–207. 3 indexed citations

19.

Weller, Patrick & Xu Yi‐chong. (2009). The World Bank: An Institution with Many Faces. Griffith Research Online (Griffith University, Queensland, Australia). 28(2). 18–22. 1 indexed citations

20.

Yi‐chong, Xu. (2004). Electricity Reform in China, India and Russia: The World Bank Template and the Politics of Power. Griffith Research Online (Griffith University, Queensland, Australia). 19 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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